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Business transformation is driving enterprise data centers towards hyperconverged infrastructure (HCI) for its simplicity and scalability. Unlike traditional hardware-defined infrastructure (siloed compute, storage, and networking), HCI is a virtualized, software-defined environment (single, streamlined system). Hyperconverged data centers are easier typically to maintain, can expand capacity quickly, and help to reduce operational costs. HCI solutions with better computing power can help you capture the full benefits of hyperconvergence. 

 

Why Your CPU Matters

The move to HCI brings a new opportunity to upgrade processing power. That can lead to greater gains in data center performance, flexibility and security — if you select the right processor. The best HCI solutions will:

  • Improve application performance
  • Strengthen defenses against cyber attacks
  • Offer more freedom to scale as needed
  • Help save on power, cooling, space, and licensing

 

Putting the right CPU at the heart of your HCI can result in more business benefits, such as quicker access to data for more informed decision making, improved defense against security breaches, and faster customer transactions.

 

The Choice for HCI: AMD EPYC Processors

As a performance leader for virtualized workloads+, AMD EPYC processors can help you maximize your HCI investment. In addition to world-record-breaking benchmark performance, AMD EPYC is architected with advanced security features. It is the only x86 server processor with full Secure Encrypted Virtualization to help protect your data. AMD EPYC is simply the highest performing CPU1 available for your hyperconverged data center.

 

  • Accelerate virtualized applications

AMD EPYC delivers the speed and efficiency you need to accelerate your workloads. Its groundbreaking architecture makes it #1 across many industry-standard benchmarks1. Optimized for deployments on VMware, Nutanix, Azure Stack HCI and SimpliVity, AMD EPYC processors provide up to 47% faster performance in VMmark 3.1 vSAN2.

 

  • Help protect critical data with innovative security features

The AMD Infinity Guard security suite offers exclusive hardware-based protection. Secure Encrypted Virtualization helps guard virtual machines (VMs) with unique encryption keys known only to the processor, while Secure Memory Encryption helps thwart cold boot and physical attacks with full system memory encryption.

 

  • Scale physical servers and software licenses to your needs

With up to 64 cores per socket, AMD EPYC offers better scalability and flexibility to meet your VM and workload requirements, helping to maximize your HCI investment.

 

  • Ensure broad ecosystem support

AMD works with major ISVs and OEMs to deliver certified, out-of-the-box platforms. So, you can simplify data center management, running applications at any scale — now and into the future.

 

Selecting the Right Processor for Your HCI

Choosing the ideal CPU can be critical to optimizing hyperconverged infrastructure. That’s why AMD EPYC enables solutions that offer more options when it comes to processing power, from cost-efficient single-socket to high-performance two-socket servers. Try the AMD EPYC CPU selector tool today to see what might work best for your hyperconverged data center.

 

Find My HCI CPU

 

Footnotes

  1. . For a complete list of world records see http://amd.com/worldrecords. ROM-169
  2. 47% higher score and 56% more tiles (VMs) based on VMmark 3.1 vSAN comparing 2x EPYC 7F72 scoring 13.27 @ 14 tiles (266 VMs), https://www.vmware.com/content/dam/digitalmarketing/vmware/en/pdf/vmmark/2020-04-14-DellEMC-PowerEdge-R6525.pdf compared to the next highest competitive result on 2x Intel Xeon Platinum 8276L scoring 9.00 @ 9 tiles (171 VMs), https://www.vmware.com/content/dam/digitalmarketing/vmware/en/pdf/vmmark/2019-08-12-Hitachi-UCPHC-V124N.pdf). 47% higher score = 13.27/9 = 1.474x the score and 56% more tiles (VMs) = 14/9=1.555x the tiles (VMs) as of 4/14/20. VMmark is a product of VMware, Inc. ROM-639 

Dylan Larson is a director of product marketing for AMD. His postings are his own opinions and may not represent AMD’s positions, strategies or opinions. Links to third party sites are provided for convenience and unless explicitly stated, AMD is not responsible for the contents of such linked sites and no endorsement is implied.

 

2020 Advanced Micro Devices, Inc. all rights reserved. AMD, the AMD arrow, EPYC, and combinations thereof, are trademarks of Advanced Micro Devices, Inc. VMware is a registered trademark of VMware in the US or other countries. Nutanix is a trademark of Nutanix Inc.

Azure is a registered trademark of Microsoft Corporation in the US and/or other countries. VMmark is a registered trademark of VMware in the US or other countries.  Other names are for informational purposes only and may be trademarks of their respective owners. 

At AMD, we look forward to celebrating Exascale Day with the rest of the HPC community. For us, it is a reminder of the important work we are doing alongside our partners to change and advance the world of computing, research, and science.

 

We’re joining with Oak Ridge National Laboratory (ORNL), Lawrence Livermore National Laboratory (LLNL) and Hewlett Packard Enterprise (HPE), to highlight how the groundbreaking Frontier and El Capitan supercomputers will transform the ability to tackle some of the world’s most important challenges including in the areas of weather, genomics, physics, biomedical data, materials science and more.

 

In the past two years, our partners at ORNL and LLNL announced Frontier and El Capitan, expected to be two of the most powerful supercomputers in the world. In these two supercomputers, we are optimizing next-generation AMD Radeon Instinct GPUs and EPYC CPUs and open source AMD ROCm heterogeneous computing software, providing researchers the ability to access an unprecedented level of performance.

 

Frontier, which is expected to deliver more than 1.5 exaFLOPS of peak processing power in 2021, will push the boundaries of scientific discovery by dramatically enhancing performance of artificial intelligence (AI), analytics, and simulation at scale, helping scientists to pack in more calculations, identify new patterns in data, and develop innovative data analysis methods to accelerate the pace of scientific discovery. 

 

Similarly, El Capitan, which is expected to deliver more than 2 exaFLOPS of peak processing power in 2023. It is so fast that if all 7.7B people on earth each completed one calculation per second, it would take 8 years to do what El Capitan is expected to do in ONE SECOND! The system was designed with the goal to excel at AI and machine-learning data analysis to create models that are faster, more accurate, and capable of quantifying the uncertainty of their predictions.

 

As we continue our push to enable the HPC industry with exascale computing, the Frontier and El Capitan supercomputers open new possibilities for scientific research. To help researchers and scientists prepare for exascale computing, Oak Ridge National Labs created the Center for Accelerated Application Readiness (CAAR) program to develop applications designed for problems which Frontier, with its exascale computing power, can help solve. This program will grant eight teams early access to software development systems, leadership computing resources, and technical support, allowing them to optimize their simulation, data-intensive, and machine learning scientific applications for exascale performance in the development years leading up to the launch of Frontier.

 

At AMD, we are proud to work with our technology and ecosystem partners to drive innovation and discovery in supercomputing. Working together with exceptional technology partners like ORNL, LLNL and HPE, and the researchers, we can redefine the future of high-performance data centers and have a profound effect on advancing science and technology.  The innovations to achieve this level of computation are foundational and drive AMD’s leadership investments for the long term.

 

The exascale class of computing delivers advanced capabilities in modeling, simulation and AI that will impact people’s lives for decades to come. The analysis will guide approaches and solutions around critical issues such as climate change, socio-economic issues, disease management and cures, predictive analysis to optimize everything from crop yield optimization to medical diagnoses, and many more. 

 

You can watch a video from researchers at ORNL describing what the impact of exascale computing and the Frontier supercomputer will mean for their research. You can also read more about everything happening for Exascale Day 2020.

 

Mark Papermaster is an Executive Vice President and Chief Technology Officer for AMD. His postings are his own opinions and may not represent AMD’s positions, strategies or opinions. Links to third party sites are provided for convenience and unless explicitly stated, AMD is not responsible for the contents of such linked sites and no endorsement is implied.

 

*Links to third party sites including social media feeds are provided for convenience and unless explicitly stated, AMD is not responsible for the contents of such linked sites and no endorsement is implied.

 

2020 Advanced Micro Devices, Inc. All rights reserved. AMD, the AMD Arrow logo, EPYC, Radeon Instinct, and combinations thereof are trademarks of Advanced Micro Devices, Inc.

 

Cautionary Statement

This blog contains forward-looking statements concerning Advanced Micro Devices, Inc. (AMD) including, but not limited to, the features, functionality, expectations, benefits and timing of AMD’s partnership with Oak Ridge National Laboratory, Lawrence Livermore National Laboratory and Hewlett Packard Enterprise, which are made pursuant to the Safe Harbor provisions of the Private Securities Litigation Reform Act of 1995. Forward-looking statements are commonly identified by words such as "would," "may," "expects," "believes," "plans," "intends," "projects" and other terms with similar meaning. Investors are cautioned that the forward-looking statements in this blog are based on current beliefs, assumptions and expectations, speak only as of the date of this blog and involve risks and uncertainties that could cause actual results to differ materially from current expectations. Such statements are subject to certain known and unknown risks and uncertainties, many of which are difficult to predict and generally beyond AMD's control, that could cause actual results and other future events to differ materially from those expressed in, or implied or projected by, the forward-looking information and statements. Investors are urged to review in detail the risks and uncertainties in AMD's Securities and Exchange Commission filings, including but not limited to AMD's Quarterly Report on Form 10-Q for the quarter ended June 27, 2020.

Confidential Computing is revolutionary security technology for computing. It is a game-changing paradigm shift for computing in the public clouds. Confidential Computing addresses key security concerns many organizations have about migrating their sensitive applications to the cloud and safeguarding their most valuable information while in-use by their applications. The 2nd generation AMD EPYC processor helps make this possible by using hardware-based security features to isolate and help protect data-in-use, in real-time, through a breakthrough technology called Secure Encrypted Virtualization(SEV).

 

Google Cloud set a new standard for security and privacy in the cloud with their recent announcement about Confidential Virtual Machines. Google Cloud Confidential VMs use the AMD EPYC processor’s Secure Encrypted Virtualization to strengthen VM isolation and data-in-use protection. No changes to the application are required to take advantage of these features.

 

Secure Encrypted Virtualization is a hardware-based security feature of all AMD EPYC 7002-series processors enabled on select servers and cloud instances. SEV encrypts the data-in-use on a virtual machine, helping to keep it isolated from other guests, the hypervisor and even the system administrators. The SEV feature works by providing each virtual machine with an encryption key that isolates guests and the hypervisor from one another. These keys are created, distributed, and managed by the AMD Secure Processor. Memory encryption keys never leave the processor. With SEV-enabled Confidential VMs, customers have better control of their data, enabling them to better secure their workloads and collaborate in the cloud with confidence.

 

Confidential VMs are now available on Google Compute Engine. You can read the general availability announcement here. Confidential VMs make use of Google Compute Engine’s N2D instances and are available in both fixed and custom sizes. Similar to N2D instances, the Google Cloud Confidential VMs range from 2 vCPUs to 224 vCPUs and offer up to 896 GiB of memory. There are three different types of Google Cloud Confidential VMs: standard, highmem and highcpu, with vCPU:Memory ratios of 1:4, 1:8 & 1:2 respectively. The Google Cloud Confidential VMs also come with the support of persistent disks and local attached SSDs. With 70% greater platform memory bandwidth than comparable N1 instances, N2D instances provide over a 100% performance improvement on a variety of representative benchmarks. In addition to security features, the Google Cloud Confidential VMs also deliver similar exceptional performance on a variety of workloads to comparable standard Google VMs.

 

The AMD Cloud Solutions engineering team has worked closely with the Google Cloud security engineering teams to showcase the performance of Confidential VMs and demonstrate how organizations can take advantage of this transformative technology while enhancing their security landscape. Here are a few sample workload performance characterizations. 

Relational Databases

Relational Database Management Systems remain the core of enterprise applications for transaction processing, business analytics and decision support systems. Moving databases to the cloud provides a host of benefits: scalability, location independence, reliability, and low administrative costs. However, performance and data security are important factors to consider before selecting a platform for deployment. Google Confidential VMs provide a solution where customers can secure their data while still enjoying great performance.

 

MySQL is a widely used open-source RDBMS based on the Structured Query Language (SQL). AMD engineers ran a benchmark comparing the performance of standard N2D VMs to Confidential N2D VMs in an online transaction processing (OLTP) deployment scenario. The figure below, showing results on 8, 16, and 32 vCPU instances, demonstrates that on average, there is a performance impact of ~2.31% when using the Confidential VMs. For more information, see MySQL on Google Compute Engine with N2D Confidential VMs.*

 

AMD engineers also ran a benchmark comparing the performance of standard N2D VMs to Confidential N2D VMs for decision support system (DSS) deployments. The figure below, showing results on 8, 16, and 32 vCPU instances, demonstrates that on average, there is a performance impact of ~2.62% when using Confidential VMs. For more information on MySQL and other databases on Google Compute Engine here.

 

 

 

 

 

 

 

 

 

 

Web Servers

Cloud-based web server hosting has increased in popularity due to its cost-effective nature, ease of setup, scalability, and resource distribution. Once again, performance and data security are important factors to consider before selecting a platform for deployment. Google Cloud Confidential VMs can provide a solution where customers can enjoy great performance while securing their data.

 

The Apache HTTP Server is a popular open-source code implementation of a web server. Apache HTTP Server on Google Compute Engine supports the deployment and management of web servers with a variety of instance sizes. This flexibility provides the ability to handle fluctuating workloads in a predictable manner.

 

AMD engineers ran the WRK benchmark using Apache HTTP Server in order to compare the performance of standard N2D VMs to Confidential N2D VMs. The figure below, showing scale-out results on one, two and three nodes with 8 vCPU instances, demonstrates that on average, there is a performance impact of ~3.64% when using Confidential VMs. For more information, see Apache Web Server on Google Compute Engine with N2D Confidential VMs. For related information on NGINX, see NGINX on Google Compute Engine with N2D Confidential VMs.

Graph Databases

Graph databases have a growing range of important uses including applications like fraud detection, asset management, cybersecurity and social networking. Migrating a graph database to the cloud brings numerous advantages in terms of cost and scalability but data security remains a concern.

 

Based on parallel graph technology, TigerGraph uses the power of interconnected data to offer organizations deep insights and high-impact business outcomes. TigerGraph fulfills the promise and benefits of graph analytics by tackling these data challenges in real time.

 

AMD engineers ran TigerGraph’s Graph Database benchmark in order to compare the performance of standard N2D VMs to Confidential N2D VMs. The figure below, showing results on a six-node cluster with 16 vCPU instances, demonstrates that on average, there is a performance impact of ~6.73% when using Confidential VMs. This benchmark tests analytic query performance for 3 different types of queries including khop6, WCC and PageRank. The test was done using a Twitter dataset which includes 41.6M vertices and 1.47B edges. For more information, see TigerGraph on Google Compute Engine with N2D Instances.

Monte Carlo and Black-Scholes Simulations

Financial Services Industry (FSI) companies can take advantage of the cost-effectiveness, scalability and high availability of cloud-based services, but have compliance and data security concerns that need to be addressed.

 

Monte Carlo simulation is a stochastic method extensively used in finance to model option pricing, portfolio management and risk assessment. AMD engineers ran a Monte Carlo simulation benchmark in order to compare the performance of standard N2D VMs to Confidential N2D VMs. The figure below, showing results on 8, 16, and 32 vCPU instances, show comparable performance between the standard and Confidential VMs.

 

The Black-Scholes Merton formula is a closed-form solution used for computing call and put options. AMD engineers ran a Black-Scholes simulation benchmark in order to compare the performance of standard N2D VMs to Confidential N2D VMs. The figure below, showing results on 8, 16, and 32 vCPU instances, show comparable performance between the standard and Confidential VMs.

 

Computational Fluid Dynamics (CFD)

OpenFOAM is an open source CFD tool with a large user base across engineering and science in both the commercial and academic sectors. OpenFOAM can solve a wide range of complex fluid flows involving chemical reactions, turbulence, and heat transfer, as well as acoustics, solid mechanics and electromagnetics.

AMD engineers ran OpenFOAM benchmark tests in order to compare the performance of standard N2D VMs to Confidential N2D VMs. The figure below, showing results using the standard drivaer32M and drivaer64M models on a single instance with 224 vCPUs, shows comparable performance between the standard and Confidential VMs.

 

In summary, Google Confidential VMs powered by AMD’s record setting AMD EPYC processors using Secure Encrypted Virtualization can offer cloud customers peace of mind while delivering the performance, scalability, and reliability they’ve come to expect from Google Compute Engine. Google Confidential Computing VMs can help transform the way your organization processes data in the cloud while helping to preserve confidentiality and privacy, particularly useful in regulated industries such as Financial Services and Healthcare.

 

For more cloud solutions using AMD EPYC powered Google Cloud N2D and Confidential VMs, visit the AMD EPYC Tech Docs and White Papers Library.

 

End Notes

 

For more information related to security compliance in the Financial Services industry, see:

https://cloud.google.com/files/financial-services-compliance-overview.pdf*

https://www.fsistrategies.com/modern-workplace/about-security-and-compliance/*

 

Raghu Nambiar is a Corporate Vice President for AMD. His postings are his own opinions and may not represent AMD’s positions, strategies or opinions. Links to third party sites are provided for convenience and unless explicitly stated, AMD is not responsible for the contents of such linked sites and no endorsement is implied.

 

*Links to third party sites including social media feeds are provided for convenience and unless explicitly stated, AMD is not responsible for the contents of such linked sites and no endorsement is implied.

 

DISCLAIMER

The information contained herein is for informational purposes only and is subject to change without notice. While every precaution has been taken in the preparation of this document, it may contain technical inaccuracies, omissions and typographical errors, and AMD is under no obligation to update or otherwise correct this information. Advanced Micro Devices, Inc. makes no representations or warranties with respect to the accuracy or completeness of the contents of this document, and assumes no liability of any kind, including the implied warranties of noninfringement, merchantability or fitness for particular purposes, with respect to the operation or use of AMD hardware, software or other products described herein. No license, including implied or arising by estoppel, to any intellectual property rights is granted by this document. Terms and limitations applicable to the purchase or use of AMD’s products are as set forth in a signed agreement between the parties or in AMD’s Standard Terms and Conditions of Sale.

2020 Advanced Micro Devices, Inc. All rights reserved. AMD, the AMD Arrow logo, EPYC, and combinations thereof are trademarks of Advanced Micro Devices, Inc. Google and Google Cloud Platform are trademarks or registered trademarks of Google, Inc. in the United States and other countries. MySQL is a trademark of Oracle Corporation in the United States and other counties. Apache is a trademark of The Apache Software Foundation. TigerGraph is a trademark of TigerGraph in the US and other countries. Other product names used in this publication are for identification purposes only and may be trademarks of their respective companies.

Securing sensitive data is a high priority for individuals and enterprises. In today’s connected world, there are several points of vulnerability, from your smartphone or laptop, to the internet, intranet and data centers. Throughout these points, there are existing software and hardware solutions that have a goal of protecting data. These include: antivirus software, protecting a system from malware; secure connections which ensure data in transit is encrypted; firewalls which create a barrier between your trusted network and rest of the internet; and data encryption at rest, preventing unauthorized access or theft of data stored on persistent media.

 

Now let’s talk about what confidential computing is all about. Generally speaking, confidential computing is a relatively new concept with a goal to encrypt data in use in the main memory of the system, without compromising on performance.

 

There are two aspects of protecting the data in memory: 1) encrypting full system memory and 2) encrypting individual virtual machine memory and isolating the VM memory from the hypervisor. Full system memory encryption helps defend data against cold boot and even physical attacks. Encrypting individual virtual machine memory helps defend data against attacks originating in other VMs on the same physical host, as well as from the hypervisor itself.

 

Encrypting individual virtual machine memory and isolating it from the hypervisor is critical in today’s highly virtualized, multi-tenant environment.

 

Now let’s talk about how AMD is helping enable confidential computing. One of the key design considerations of the AMD EPYC processors is to provide advanced hardware enabled security features. If customers want to protect the entire system memory, then AMD Secure Memory Encryption (SME) can encrypt system memory with a single key. It’s as simple as enabling a BIOS parameter. In a multi-tenant environment, AMD Secure Encrypted Virtualization (SEV) isolates virtual machines from each other and from the hypervisor. AMD Secure Encrypted Virtualization with Encrypted State (SEV-ES) extends the protection to the CPU registers whose contents are encrypted when a virtual machine stops running.

 

SME, SEV and SEV-ES are part of the AMD Infinity Guardportfolio. The VM security features require enablement in the guest operating system and hypervisor. It is very important to note that AMD’s Secure Encrypted Virtualization helps protect all the applications running on the virtual machine, no code changes or re-compiling of the application are required. If a customer application is running on a system with SEV enabled, then they can reap the benefit of these security features.

AMD and VMware have been working together to enable SEV and SEV-ES on vSphere and we are excited that it is available in vSphere 7.0U1. vSphere 7 is the biggest release of vSphere in over a decade and delivers several innovations including support for AMD’s encrypted virtualization technology. If you are interested in learning more about AMD Secure Encrypted Virtualization (SEV) on VMware ESXi, please attend the on-demand VMware & AMD VMworld panel with Lee Caswell, Rich Brunner, David Dunn and Robert Gomer.

 

We understand the challenges associated with deploying new technologies. To address this we have created an end-to-end configuration guide showing how to set up a confidential computing environment using vSphere and vSAN. The design guide provides step by step instructions to set up a VMware vSAN cluster, build confidential computing virtual machines based on the Linux operating system, and how to deploy applications on it. We have tested popular database and big data benchmarks in order to understand the overhead and performance impact of AMD’s Secure Encrypted Virtualization.

 

AMD engineers ran OLTP and DSS workload tests with and without SEV-ES enabled. Five test runs were performed with the average taken1,2. As shown below, SEV-ES enabled VMs on a VMware ESXi host with a vSAN datastore has a low performance overhead of ~1.4% on OLTP workload and ~6.2% on DSS workload with SQL Server 2019.

 

 

AMD engineers also ran a big data workload test with and without SEV-ES enabled. Five test runs were performed with the average taken1,3. As shown, SEV-ES enabled VMs on a VMware ESXi host with a vSAN datastore has a low performance overhead of ~2% on the big data workload with Apache Hadoop.

 

The configuration described in the guide can be deployed as is or used as a baseline for custom configurations that uniquely address your workload demands. You can access the confidential computing blueprint here

 

I am excited to be a part of the continuing collaboration between AMD and VMware. Together, we are providing customers with a high-performance and security-enhanced virtualization experience for the modern data center.

 

Raghu Nambiar is a Corporate Vice President for AMD. His postings are his own opinions and may not represent AMD’s positions, strategies or opinions. Links to third party sites are provided for convenience and unless explicitly stated, AMD is not responsible for the contents of such linked sites and no endorsement is implied.

 

 

DISCLAIMER

The information contained herein is for informational purposes only and is subject to change without notice. While every precaution has been taken in the preparation of this document, it may contain technical inaccuracies, omissions and typographical errors, and AMD is under no obligation to update or otherwise correct this information. Advanced Micro Devices, Inc. makes no representations or warranties with respect to the accuracy or completeness of the contents of this document, and assumes no liability of any kind, including the implied warranties of noninfringement, merchantability or fitness for particular purposes, with respect to the operation or use of AMD hardware, software or other products described herein. No license, including implied or arising by estoppel, to any intellectual property rights is granted by this document. Terms and limitations applicable to the purchase or use of AMD’s products are as set forth in a signed agreement between the parties or in AMD’s Standard Terms and Conditions of Sale.

2020 Advanced Micro Devices, Inc. All rights reserved. AMD, the AMD Arrow logo, EPYC, and combinations thereof are trademarks of Advanced Micro Devices, Inc. VMware, vSphere, vSAN and ESXi are trademarks or registered trademarks of VMware in the United States and other countries. Linux is the registered trademark of Linus Torvalds in the U.S. and other countries. Other product names used in this publication are for identification purposes only and may be trademarks of their respective companies.

Footnotes

  1. SEV-ES enabled VMware vSAN cluster Configuration for OLTP and DSS workloads using SQL Server 2019 and Big Data workload using Ambari Hadoop tested with : 4 Hosts each with 1x AMD EPYC 7452, 1TB (16 x 64GB) of RAM, 2x1.6TB NVMe, 6 x 3.2TB NVMe, Broadcom BCM57414 NetXtreme-E 10Gb/25Gb RDMA Ethernet Controller, Mellanox Technologies ConnectX-5 VPI adapter card EDR IB (100Gb/s) and 100GbE dual-port QSFP28 (MCX556A-ECAT) connected to Mellanox SN2410 Ethernet switch 48-port 25GbE + 8-port 100GbE, VMware ESXi 7.0 update 1, VMware vSAN 7.0.1  
  2. System Under Test (SUT) Configuration for OLTP and DSS workloads: VMware Virtual Machine with 32 vCPUs, 768GB of memory, 700GB Hard Disk volume for OS from VMware vSAN, 9TB Hard Disk volume for database from VMware vSAN, uplink to 1GbE NIC, SUSE Linux Enterprise 15 SP2, 5.9.0-rc2-SEV-ES-orig-24.9-default, SQL Server 2019 cu6.  The TPC workloads were driven by HammerDB v3.3 from separate client virtual machine.  SEV-ES feature for Guest OS was enabled for the SUT config labeled as “SEV-ES Enabled” in the Figure 6 and 7.
  3. System Under Test (SUT) Configuration for Big data workload using Hortonworks Data Platform: 8x VMware Virtual Machines each configured with 16 vCPUs, 64GB of memory, 700GB Hard Disk volume for OS from VMware vSAN, 3x1TB Hard Disk volumes for data from VMware vSAN, uplink to 1x1GbE NIC, uplink to 1x100GbE NIC for Ambari Hadoop Cluster,  SUSE Linux Enterprise 15 SP2 5.9.0-rc2-SEV-ES-orig-24.9-default,  HDFS v3.1.1, YARN+MapReduce2 v3.1.1, Zookeeper v3.4.6, Ambari Metrics v0.2.0,  SmartSense 1.5.1.2.7.5.0-72 from Hortonworks Data Platform (HDP) version 3.1.4.  SEV-ES feature for Guest OS was enabled for the SUT config labeled as “SEV-ES Enabled” in the Figure 8.  HDP Cluster used 2 Master Nodes and 6 Data Nodes.

AMD continues to grow and help customers move to a more modern, hyperconverged infrastructure (HCI) for running their business critical applications, and today we’ve been recognized for that!

 

At the Global .NEXT Digital Experience conference Nutanix awarded AMD with the “Technology Alliances New Partner of the Year” award. Nutanix recognized AMD for the collaboration  between the two companies to support the capabilities of AMD EPYC processors for hyperconverged infrastructure powered by Nutanix based solutions.

 

We’re beyond proud of this award as it recognizes what AMD EPYC processors can do for customers, transforming their data centers to a hyperconverged infrastructure (HCI) with leadership performance, while adding flexibility and ease of management.

 

For customers moving to an HCI environment, AMD EPYC processors provide fantastic performance for hyperconverged infrastructure (HCI), and world record performance for virtualized environments[i]. In addition to providing high performance for virtualized business workloads, EPYC is certified and optimized for hybrid cloud deployments. The processors provide three critical foundational elements in an HCI environment.

 

  • High core density and memory capabilities. These two features help support a densely virtualized environment. More virtual machines equal more capabilities to process workloads.
  • Security ingrained within the EPYC architecture and advanced security features like Secure Encrypted Virtualization. This provide customers with peace of mind in moving to a software-defined virtualized environment for running business critical applications.
  • The industry’s only, no compromise, single socket platform, providing performance and infrastructure consolidation that helps reduce overhead and operations costs, improving overall TCO.

 

Earlier this year, we introduced the new AMD EPYC 7Fx2 series processors with industry-leading per core performance[ii] which are fantastic for HCI, giving customers great virtualization performance. Nutanix supported the new 7Fx2 series and all solutions that will use 2nd Gen AMD EPYC processors and Nutanix HCI software.

 

I also spoke to you about how the Modern Data Center is rapidly becoming hyperconverged and how AMD EPYC processors can help customers move to a HCI environment. In addition, John Morris highlighted the ecosystem growth for AMD EPYC processors and HCI solutions and showcased how AMD EPYC processors provide high-performance capabilities for HCI, allowing you to keep up with the evolution into a digital workspace.

 

And just last week, Lenovo announced a new ThinkAgile HX solution based on 2nd Gen AMD EPYC processors and Nutanix HCI software that provides great core density within a 1U server platform, for fantastic performance on VDI workloads. This joins the other Nutanix-based HCI systems from HPE and Dell

 

Again, I want to thank Nutanix for this award and recognition. This award is great recognition for the work AMD and the EPYC processor team has put into HCI solutions with our ecosystem partners to deliver delivering solutions that offer outstanding performance, scalability and TCO, and we will continue to do this.

 

Dan McNamara is a Senior Vice President and General Manager for the AMD server business. His postings are his own opinions and may not represent AMD’s positions, strategies or opinions. Links to third party sites are provided for convenience and unless explicitly stated, AMD is not responsible for the contents of such linked sites and no endorsement is implied.

 

[i] ROM-169: For a complete list of world records see http://amd.com/worldrecords. ROM-169

[ii] Highest per core performance in the world based on EPYC 7F32 (8-cores) having the highest SPECrate2017_fp_base score divided by total core count, of all SPEC publications as of 4/14/2020. 2x EPYC 7F32 (8-cores) scoring 12.75 base result per core (204 SPECrate2017_fp_base/16 total cores, www.spec.org/cpu2017/results/res2020q2/cpu2017-20200316-21244.pdf) compared to the next highest result 1x AMD EPYC 7262 (8-cores) scoring 11.54 base result per core (92.3 SPECrate2017_fp_base/8 total cores.

http://spec.org/cpu2017/results/res2020q1/cpu2017-20191220-20435.pdf) See www.spec.org/cpu2017/results for full ranking. SPEC and SPECrate are trademarks of the Standard Performance Evaluation Corporation. Learn more at www.spec.org

Public cloud and enterprise datacenters continually require more computing power to meet the ever-increasing user demands. AWS processes billions of data requests every day1 from customers seeking performance, reliability and on-demand scalability in cloud instances that fit within their budgetary constraints. To meet its customers’ computing needs, AMD and AWS have collaborated to create distinct types of cloud instances designed to meet specific application needs: AMD-powered Amazon Elastic Compute Cloud (EC2) instances are available in four categories: general-purpose (M5a & M5ad), general-purpose burstable (T3a), memory optimized (R5a & R5ad), and now compute-optimized (C5a & C5ad).

 

Amazon EC2 C5a instances combine the power of the latest generation AMD EPYC processor with optional memory and storage configurations designed to support a wide variety of workloads such as data analytics, video encoding, gaming, image manipulation and more. With the broad range of instances available, the new C5a instances provide highly cost-effective cloud solutions with high performance, and the lowest cost per x86 vCPU in the Amazon EC2 family.

 

The C5ad instances extend the benefits of C5a with the ability to further tune workloads with low IO latency requirements using high-speed local storage caching, by adding local NVMe-based SSD block level storage connected directly to the host. C5ad instances come with up to 3.8 TB of NVMe based SSD storage and high-speed network connectivity. The high performance local NVMe storage and high-speed network connectivity in C5ad instances offer performance, value, and scalability to serve a variety of workloads.

 

Amazon EC2 instances powered by AMD EPYC processors are built on the AWS Nitro System—a collection of AWS-designed hardware and software innovations that enable the delivery of efficient, flexible, and secure cloud services with isolated multi-tenancy, private networking, and fast local storage—and deliver up to 10% cost savings over comparable instances3 in most regions, with the Asia Pacific (Mumbai) region offering up to 45% cost savings2, all while providing a reliable and scalable platform that brings optimal performance for enterprise-class workloads including web services and databases. Below are just a few examples of how AMD-powered Amazon EC2 instances are delivering predictable scaling and measurable impact.

 

Web and application servers for performance and scalability

Cloud-based solutions for distributed enterprise applications require a scalable infrastructure capable of accommodating dynamic capacity needs.

 

NGINX is a popular web server that can also be used as a reverse proxy, load balancer, mail proxy and HTTP cache. For high-performance, multi-threaded deployments, C5a can deliver significantly lower cost3 when implemented in the cloud. The following chart demonstrates performance of NGINX in both scale-up and scale-out deployment scenarios.


 

Read the NGINX on Amazon EC2 C5a Instance solution brief here.

 

High-performance, in-memory data store for real-time performance

Caching data and objects in memory can improve the throughput and often deliver near real-time data access performance. 

 

Memcached is a popular, open-source, in-memory distributed caching system. There are several applications that can benefit from Memcached such as web application frontend, content delivery, media streaming, search engines, relational databases, gaming and many more. Amazon EC2 C5a instances powered by AMD EPYC processors are optimal in many ways for Memcached, offering cost effective, high performance and scalability on demand. Memcached on Amazon EC2 C5a instances can offer predictable performance starting with the application’s current needs and as requirements grow. Our benchmark tests demonstrate the performance and scaling for both scale-up and scale-out scenarios as demonstrated below.

 


Read the Memcached on Amazon EC2 C5a Instance solution brief here.

 

In addition, I wanted to highlight the recent performance characterization of Redis Enterprise on AWS C5a instances in collaboration with Redis Enterprise from Redis Labs, a real-time database and enterprise grade caching layer.

 

Powerful performance in business transactions and decision support

Relational Database Management Systems remains the core of enterprise applications for transaction processing, business analytics, and decision support systems.

MySQL is one of the most popular open-source relational database management systems. Implementing MySQL in the cloud is an increasingly popular choice for many applications. Performance, scalability, security features, reliability, and cost of ownership are all important factors when choosing a platform for a MySQL deployment – Amazon EC2 C5a instances offers all of them. We have tested a well known Online Transaction Processing (OLTP) benchmark on AWS EC2 C5a instances and a Decision Support System (DSS) benchmark on AWS EC2 C5ad instances which offer high speed local storage for tempdb to analyze the performance and scalability of MySQL. These results, shown below, demonstrate the effectiveness of AWS EC2 C5a instances in common relational database deployment scenarios.

Read the MySQL on Amazon EC2 C5a Instance solution brief here.

 

Big Data applications for deeper insights

Enterprises across industry verticals are realizing the power of Big Data Analytics for gaining operational efficiency for new business opportunities.


Apache Hadoop offers an ecosystem of open source components that fundamentally changes the way enterprises store, process, and analyze data. Cloudera Distribution Hadoop (CDH) is the most popular distribution of Hadoop. The new C5ad instance is an optimal fit for Apache Hadoop based workloads. Combining the high performance of AMD EPYC with high performance local NVMe storage for temporary storage with the right network bandwidth can match demanding workload requirements and achieve predictable scaling of performance as shown below.

Fast Encoding/Transcoding for live streaming

We are in a new era of high-quality video in social, entertainment and business applications. Such applications in many cases, use real-time encoding/transcoding using FFmpeg like frameworks.  FFmpeg is the leading open source multimedia framework used to decode, encode, transcode, mux, demux, stream, filter, and play videos. The benchmark testing of encoding time for the Tears of Steel movie clip, shows real-time video delivery performance by AMD EPYC powered Amazon EC2 C5ad.8xlarge (32 vCPUs) instances. The high core count and exceptional memory bandwidth of the AMD EPYC processor combined with high-speed NVMe local storage on C5ad instances, enable fast encoding/transcoding. See chart below showing faster encoding time for 1080p and 4K using NVME local storage showing real-time video stream delivery!  This performance testing used the VP9 codec in Constant Bitrate mode with the Highest quality setting for streaming.

In short, the latest generation of AMD’s record-setting EPYC processors power the Amazon EC2 C5a and C5ad instances, giving customers a variety of options for high performance, scalability, reliability, and security features -available on-demand with pay-per-use pricing at the lowest cost per x86 vCPU in the Amazon EC2 family.

 

For more AWS Cloud solutions powered by AMD EPYC processors, visit  AMD EPYC Tech Docs and White Papers Library

 

End notes:

  1. https://aws.amazon.com/blogs/startups/how-to-scale-to-billions-of-requests-a-day-with-aws/
  2. “The AMD-based instances provide additional options for customers who are looking to achieve a 45% cost savings on their Amazon EC2 compute environment for a variety of workloads.” See https://aws.amazon.com/about-aws/whats-new/2019/11/amazon-ec2-amd-instances-are-now-available-in-asia-pacific-mumbai-aws-region/
  3. AMD powered AWS EC2 instances offer up to 10% lower cost compared to comparable x86 based instances. See https://aws.amazon.com/ec2/amd/

 

Raghu Nambiar is a Corporate Vice President for AMD. His postings are his own opinions and may not represent AMD’s positions, strategies or opinions. Links to third party sites are provided for convenience and unless explicitly stated, AMD is not responsible for the contents of such linked sites and no endorsement is implied.

In order to understand Hyperconverged Infrastructure (HCI), a brief history of the evolution of the legacy data center to the modern-day data center is needed. Legacy data centers are typically composed of a multi-tier architecture made up of a storage tier, a networking tier, and a compute tier. Each of these components would typically be managed by a different administrator using purpose-built hardware creating a natural barrier, or silo, because of the functionality and expertise required to manage them.

 

The traditional data center model has been in place for decades. Its rigidity and attendant inefficiencies led to a search for solutions culminating in the creation of Hyperconverged Infrastructure (HCI). Initially, HCI was thought of as a type of software-defined storage, primarily because software abstraction of the traditional enterprise storage architecture was the last element necessary for a truly software defined data center. HCI has grown to be much larger than its original scope, combining server virtualization with software defined networking and continuous availability through self-healing along with advanced management and analytics capabilities.

 

Today, HCI is mainstream and offers a cloud experience in the customers own data center, bringing efficiencies and agility for demanding IT requirements. AMD has been working closely with our ecosystem partners in delivering fully tested and validated solutions that offer outstanding performance, scalability and TCO. While this is not an exhaustive list, these are some of the most common HCI use cases:

 

  • General Purpose Computing – Virtualization had already started a trend towards server consolidation. But significant deployment planning was still required to avoid stress on existing storage and network infrastructure. By bringing storage within the node and distributing it across the cluster, much of this overhead could be avoided, and server consolidation can continue in an easy and predictable fashion. One of the unique differentiations that 2nd Gen AMD EPYC processors offers is the core density – up to 64 cores and 128 threads per processor – which enables the ability to run higher virtual machine density and while reducing infrastructure.
  • Virtualized Databases – Databases and other Tier 1 applications are finding that HCI can provide enough performance for these workloads. Historically, it was assumed that HCI would be unable to meet these needs, but with recent advances in HCI technology along with performance and feature enhancements that AMD has brought to the table, such as higher base and boost frequency processors, along with high speed I/O and network enabled through PCIe 4, this is no longer the case. It’s also important to note that the memory capacity advantage that 2nd Gen AMD EPYC processors has – up to 4TB of memory per processor - can accelerate in-memory computing for transactional and real-time analytics workloads. That is not to say that all business-critical applications are a good fit for HCI yet, but even some of the traditional database vendors are starting to see the appeal.
  • Virtual Desktop Infrastructure (VDI) – VDI historically pushes virtualized servers to the very edge of their capabilities. Today, VDI is bringing an even richer user experience to a mobile and distributed workforce. VDI enhances centralized control and protection over business-critical data while supporting collaboration. A better user experience is tied directly to server capability. Industry-leading core count coupled with the high memory capacity and bandwidth in AMD EPYC processors enables optimal virtual desktop density and performance.
  • Edge Computing – HCI is becoming a popular choice for Remote Branch Office and Edge Computing. Traditional systems are overkill, being both too costly and too complex for such deployments. AMD EPYC processors offers the power and space efficiencies required for edge environments. With AMD EPYC processors, these self-contained small data centers can be deployed efficiently at a fraction of the cost. Beyond deployment advantages, the core capabilities of HCI, such as provisioning, monitoring, management and on-demand scaling, can significantly reduce the complexities associated with edge computing.

 

Nutanix is a world leader in HCI and we at AMD are very excited to collaborate with them. We have worked together on optimizing the Nutanix hyperconverged software, Acropolis OS, on AMD EPYC processors. Together, we have enabled choice in hypervisors including Nutanix Acropolis Hypervisor (AHV), VMware ESXi, and Microsoft Hyper-V. We have been collaborating closely with our server OEM partners in bringing fully validated HCI solutions including the Nutanix-integrated HPE ProLiant DX385 appliance, the Dell EMC XC Core XC-6515 and newly announced Lenovo ThinkAgile HX HCI solution.

 

We are a proud sponsor of Nutanix Global.NEXT 2020 and look forward to helping you meet today’s business challenges with fully validated hyperconverged infrastructure solutions. You can learn more about AMD EPYC processors for Nutanix solutions at the Partner Xchange Breakout Sessions and here at the AMD website.

 

Raghu Nambiar is a CVP of Datacenter Ecosystems & Application Engineering for AMD. His postings are his own opinions and may not represent AMD’s positions, strategies or opinions. Links to third party sites or use of third party names/marks are provided for convenience and unless explicitly stated, AMD is not responsible for the contents of such linked sites and no endorsement is implied.

It is exciting to observe the rapid evolution of the cloud high-performance computing market and to think of what it can mean for customer innovation. Just a year ago, Microsoft Azure was the first to run a 10,000 core Simcenter STAR-CCM+ job in the cloud with AMD EPYC processor-based HB-series VMs. This run proved the viability of large-scale cloud HPC while showcasing impressive performance that rivals on-premises HPC clusters. Azure customers shared resoundingly positive feedback about how this newfound scale helped them to accelerate research and be more productive.

 

                This year, Microsoft upped the ante when they published results of the 2nd Gen AMD EPYC processor-powered Azure HBv2 running a 57,000 core “Le Mans” computational fluid dynamics (CFD) model on Simcenter STAR-CCM+ with 10x the mesh resolution of last year’s test. This was among the largest Simcenter STAR-CCM+ jobs ever validated by Siemens*-- not just in the cloud, but in any datacenter environment. Until recently, only the most powerful computing environments were equipped to run simulations of such scale and accuracy. Now, small and large companies alike possess the computing power to drive world-changing innovation at supercomputer-scale on-demand for as little as $0.6614/hr per virtual machine using spot pricing.
 

Figure 1: Simcenter STAR-CCM+ Speedup on HBv2 from 1 to 640 virtual machines (57,600 cores)

Note: A given scaling point may achieve optimal performance with 90, 112, 116, or 120 parallel processes per VM. ###Plotted data below shows optimal performance figures. All tests were run with HPC-X MPI ver. 2.50.                                  

 

Why AMD EPYC Processors for Simcenter STAR-CCM+?

As with a wide variety of enterprise and HPC workloads, 2nd Gen AMD EPYC processors offer leading performance for CFD, with up to 95% faster simulations than competitive alternatives on Simcenter STAR-CCM+[1]. AMD works with major software vendors like Siemens to help ensure your software is optimized for performance with AMD EPYC processors. The broad ecosystem of open tools and libraries are more reasons why Microsoft Azure trusts AMD EPYC processors for its most demanding services.

“There is a constant pressure to accelerate the speed of product design and today, our customers are looking to turn around high-fidelity simulations in hours, not weeks.  We are very impressed with the scalability and performance of Simcenter STAR-CCM+ on the AMD EPYC processor-based Azure Virtual Machines. It will enable our customers to scale-up their simulations quickly, so that they can get the necessary insight to make better engineering decisions faster.”

Keith Foston, Senior Product Manager - Cloud and SaaS at Siemens

 

AMD Technology Powers HBv2 Leadership

Azure HBv2 extends leadership AMD EPYC performance to the cloud with a fully optimized virtual machine featuring the latest HPC technologies. This makes HBv2 an ideal extension of an on-premises environment and helps provides customers the capability to deliver net new workloads in the cloud on a scale previously unimaginable for some companies.

Specific features include:

  • 2nd Gen AMD EPYC processors with leadership core counts and 45% more memory bandwidth than competing alternatives*
  • Cloud’s only 200Gbps HDR InfiniBand* running PCIe Gen 4.0, providing excellent application scaling efficiency and low latencies
  • Elastic scale ranging from 120-80,000 cores for MPI workloads

 

Azure HBv2 VM Specs

CPU Cores

Memory

Memory per CPU Core

120

480 GB

4GB

Local SSD: GiB

RDMA Network

Azure network

1.6TB

200 Gbps
                     40 Gbps

 

Learn more about the AMD-powered HBv2 solution for Simcenter STAR-CCM+

Azure and AMD make it easy to set up an AMD EPYC processor based VMs and run the benchmarks you see above. Learn more about manufacturing solutions with HBv2 and 2nd Gen AMD EPYC processors.

Shrinking time-to-results with CFD at extreme scale with STAR-CCM+ on Azure HBv2 VMs

Run STAR-CCM+ In Azure HPC Cluster

Azure HPC Images on GitHub

Azure Infrastructure Designs

AMD EPYC for STAR-CCM+ Solution Brief

 

[1] Based on AMD internal testing of Siemens PLM STAR-CCM+ 14.02.009, kcs_with_physics benchmark, as of July 17, 2019 using a 2P EPYC 7742 powered reference server versus a 2P Xeon Platinum 8280 powered server. Results may vary. ROM-70

*Sources:
https://azure.microsoft.com/en-us/blog/azure-hbv2-virtual-machines-eclipse-80000-cores-for-mpi-hpc/

https://azure.microsoft.com/en-us/pricing/details/virtual-machines/linux/

Sean Kerr is Product Marketing Manager, Cloud at AMD. His postings are his own opinions and may not represent AMD’s positions, strategies or opinions. Links to third party sites or use of third-party names/marks are provided for convenience and unless explicitly stated, AMD is not responsible for the contents of such linked sites and no endorsement is implied.

 

We talked in a previous AMD blog about enterprise IT teams moving to Hyperconverged Infrastructure (HCI), as well as the new Dell EMC VxRail systems with AMD EPYCTM processors. The evolution toward HCI allows enterprises to consolidate multiple pieces of function-specific hardware into more manageable clusters. This is accomplished leveraging advancements in software defined networking capabilities and high-performance virtualization technologies in a more general-purpose server.

 

Today, Dell Technologies added a new Dell EMC Solutions for Azure Stack HCI platform powered by AMD EPYC to their portfolio. Running Windows Server 2019 Datacenter, the new AX-6515 for Azure Stack HCI provides advantages for leveraging Azure cloud services while delivering virtualized applications in remote office / branch office environments (ROBO). In addition, the AX-6515 is ideal for remote workers who are leveraging Virtual Desktop Infrastructure (VDI) for Microsoft Office. With its browser-based system management, support for full flash drive configurations, compact 1U form factor, and the comprehensive certification of Dell EMC, the AX-6515 with AMD EPYC makes a compelling platform offering for Azure Stack HCI.

 

A Microsoft Server 2019 pilot program is available with the AX-6515 as well. Customers only license the first 32 cores per socket, a compelling value proposition for 64 core AMD EPYC processor fans!

 

The new AX-6515 joins the VxRail E665, E665F, and E665N hyperconverged systems take advantage of the powerful performance capabilities, high core counts, and class leading memory bandwidth[i] of 2nd Gen AMD EPYC processors.

 

If you are looking to move to an HCI environment with your IT infrastructure to manage overhead, provide high-performance services to your business and keep up with the evolution into a digital workspace, AMD EPYC processors are the clear choice for modern HCI.

 

John Morris is CVP, Enterprise and HPC Business Group, AMD. His postings are his own opinions and may not represent AMD’s positions, strategies or opinions. Links to third party sites or use of third-party names/marks are provided for convenience and unless explicitly stated, AMD is not responsible for the contents of such linked sites and no endorsement is implied.

 

#_ednref1 

[i] EPYC 7002 series has 8 memory channels, supporting 3200 MHz DIMMs yielding 204.8 GB/s of bandwidth vs. the same class of Intel Scalable Gen 2 processors with only 6 memory channels and supporting 2933 MHz DIMMs yielding 140.8 GB/s of bandwidth. 204.8 / 140.8 = 1.454545 - 1.0 = .45 or 45% more.  AMD EPYC has 45% more bandwidth. Class based on industry-standard pin-based (LGA) X86 processors. ROM-11

 

 

New Dell Technologies HCI systems are the latest to tap AMD EPYCprocessors to deliver efficient infrastructure and simplified management for the enterprise 

 

Editor's Note: We invite you to join Greg Gibby, AMD data center expert, on Thursday, July 16, 2020 at 11am CDT as he provides insights on how to deliver the most from your HCI deployment. Please register for the webinar here

 

The IT landscape is in a state of evolution. Leaders are reconfiguring their infrastructure to support the new “work from anywhere” environment while continuing to support a transition to digital business, and ensuring they are doing all of this while driving value. It is a big task for the modern-day IT leader. One of the ways to help succeed in this new normal is by creating an IT infrastructure that is flexible, powerful, efficient, secure, and simple to manage.

 

This is why Hyperconverged Infrastructure (HCI) is a fantastic option for enterprises. It takes all the elements of a traditional “hardware-defined” IT infrastructure and evolves it into a “software-defined” virtualized environment that is simpler to manage and operate. HCI provides the scalability and simplicity of the cloud with the performance of on-premise infrastructure.

 

In a “traditional infrastructure” featuring hardware-based solutions, compute servers, networking, storage and fiber channel are independent systems managed separately. HCI consolidates these disparate systems into one or two solutions to increase efficiency and flexibility, while simplifying management.

 

Hyperconverged Infrastructure Overview

Modern HCI Data Centers, Powered by AMD EPYC

When enterprises are considering an HCI environment, they look at appliances and solutions that are powered by computing processors that deliver three things:

 

  1. Support for a densely virtualized environment, as this is the underpinning of HCI. More virtual machines equal more capabilities.
  2. Peace of mind in moving to a software-defined virtualized environment protected by advanced security features.
  3. Performance and efficiency that reduces overhead and operations costs, improving overall TCO.

 

With HCI environments powered by 2nd Gen AMD EPYC processors, customers get a flexible, powerful, efficient, and simple to manage IT infrastructure with robust security capabilities. This is done with the industry’s first “no compromise” single socket processor with up to 64 processing cores, and advanced security features like Secure Encrypted Virtualization (SEV). SEV aids in protecting confidentiality of data even if a malicious virtual machine finds a way into a virtual machine’s memory, or a compromised hypervisor reaches into a guest virtual machine.

 

All of this enables IT decision makers to build a powerful and secure-minded HCI environment that can provide exceptional TCO advantages for the customer, allowing them to free up valuable resources to be applied elsewhere in a business.

 

Dell Technologies Expands Support of AMD EPYC Processors

Dell Technologies today announced the addition of AMD EPYC processor support to its new Dell EMC VxRail E Series hyperconverged systems. This latest addition further expands the portfolio of HCI solutions and appliances powered by AMD EPYC processors.

 

The new Dell EMC VxRail E665, E665F, and E665N hyperconverged systems take advantage of the powerful performance capabilities, high core counts, and class leading memory bandwidth[i] of 2nd Gen AMD EPYC processors.

 

The only fully integrated, pre-configured, and pre-tested VMware hyperconverged system powered with VMware HCI software, these new VxRail systems with 2nd Gen AMD EPYC processors deliver a turnkey experience with full stack lifecycle management, enabling customers to accelerate their adoption of a modern HCI data center environment.

 

AMD EPYC and VMware

Software is critical to running a high-performance HCI environment. As the leading provider of HCI software[ii], VMware has a robust set of HCI software offerings, including vSphere and vSAN, that support AMD EPYC processors and can help an IT leader make the switch to an HCI environment. 2nd Gen AMD EPYC processors can provide unmatched performance capabilities for VMware software, as shown by a world record VMmark 3.1 score (using vSAN as the storage tier in a 4-node cluster).[iii]

 

“The performance and density innovation in AMD 2nd Gen EPYC processors is lighting up our mutual customers who are bringing the most performant use cases to the VMware Cloud Foundation with Tanzu,” said Lee Caswell, VP Marketing, Cloud Platform Business Unit, VMware. “VMware and AMD are working together to help customers reinvent the data center based on server-based, scale-out architectures that flex to the pace and economic realities of today’s modern application developer environments.”

 

The Dell EMC VxRail E Series systems use VMware vSphere and vSAN for virtualization and storage management, and 2nd Gen AMD EPYC processors provide VMware customers with the performance and security features to modernize their data center infrastructure with HCI.

 

Your Best Computing Engine for Modern HCI

If you are looking to move to an HCI environment with your IT infrastructure to manage overhead, provide high-performance services to your business and keep up with the evolution into a digital workspace, AMD EPYC processors are the clear choice for modern HCI.

 

The new Dell EMC VxRail E Series systems with 2nd Gen AMD EPYC processors continue the technical collaboration between AMD, Dell Technologies and VMware to provide customers with performance, scalability, and advanced security features for all their HCI needs. The VxRail portfolio is now available and customers can learn more here.

 

Dan McNamara is the SVP and GM of the server business at AMD. His postings are his own opinions and may not represent AMD’s positions, strategies or opinions. Links to third party sites or use of third-party names/marks are provided for convenience and unless explicitly stated, AMD is not responsible for the contents of such linked sites and no endorsement is implied.

 

[i] EPYC 7002 series has 8 memory channels, supporting 3200 MHz DIMMs yielding 204.8 GB/s of bandwidth vs. the same class of Intel Scalable Gen 2 processors with only 6 memory channels and supporting 2933 MHz DIMMs yielding 140.8 GB/s of bandwidth. 204.8 / 140.8 = 1.454545 - 1.0 = .45 or 45% more.  AMD EPYC has 45% more bandwidth. Class based on industry-standard pin-based (LGA) X86 processors. ROM-11

[ii] According to IDC data https://www.idc.com/getdoc.jsp?containerId=prUS46148920

[iii] 47% higher score amd 56% more tiles (VMs) based on VMmark 3.1 vSAN comparing 2x EPYC 7F72 scoring 13.27 @ 14 tiles (266 VMs), https://www.vmware.com/content/dam/digitalmarketing/vmware/en/pdf/vmmark/2020-04-14-DellEMC-PowerEdge-R6525.pdf compared to the next highest competitive result on 2x Intel Xeon Platinum 8276L scoring 9.00 @ 9 tiles (171 VMs), https://www.vmware.com/content/dam/digitalmarketing/vmware/en/pdf/vmmark/2019-08-12-Hitachi-UCPHC-V124N.pdf). 47% higher score = 13.27/9 = 1.474x the score and 56% more tiles (VMs) = 14/9=1.555x the tiles (VMs) as of 4/14/20. VMmark is a product of VMware, Inc. ROM-639

AMD Ryzen Processors – AMD Business Solutions for Every User

With today’s launch of the Ryzen PRO 4000 series mobile processors, AMD offers a range of business solutions to meet the computing needs for modern businesses. Whether your business is a SMB or a large enterprise, devices are IT managed or BYOD (Bring your own device), AMD’s portfolio of Ryzen processors and Ryzen PRO processors offer businesses the flexibility to choose the right solution based on their performance, manageability and security feature requirements.
Ryzen 4000 for Business
Business can choose between,

  • AMD Ryzen 4000 Series Mobile Processors: Ideal for SMB environments who needs advanced performance and security features in a sleek ultra-thin business notebook.
  • Or the AMD Ryzen PRO 4000 Series Mobile Processors: Built for Premium Business Notebooks and provide enhanced multithread performance, the best performance for business ultrathins[1]and most modern security[2] in a business notebook.

 

Modern Business Designs from our OEM Partners

Ryzen PRO 4000 HP DesignsRyzen PRO 4000 Lenovo Designs

Our partners, HP and Lenovo, have also recently announced some of their new business notebooks that are powered by the AMD Ryzen 4000 processors and Ryzen PRO 4000 series processors.

  • HP ProBook x360 435 G7 & ProBook 445/455 G7 powered by AMD Ryzen 4000 series processors are ideal for SMBs needing powerful and stylish laptop that provides everything they need to get work done both in and outside the office. The HP ProBook x360 435 G7 delivers the power, security features and durability that growing businesses demand in a versatile 360-degree design.
  • Lenovo ThinkPad T14/T14s/X13/L14/15 powered by AMD Ryzen PRO 4000 series processors deliver next generation thin and light enterprise-grade notebooks. With projected up to 20 hours of battery life[3] on the Thinkpad T14s with up to an AMD Ryzen 7 PRO 4750U processor, experience powerful performance on the go, while still having exceptional battery life.

 

AMD Ryzen PRO 4000 Series Processors – The New Standard for Modern Business PCs

Ryzen PRO 4000 Ryzen PRO 4000 Product Stack

The AMD Ryzen PRO 4000 Series launch introduces three new models to our lineup. The AMD Ryzen 7 PRO 4750U, 5 PRO 4650U, and 3 PRO 4350U processors. These new PRO processors are ideal for enterprise businesses that demand the most advanced technology[4], the best performance for business ultrathins[1], and most modern security features[2] in a business notebook.

 

Performance for the Fast-Paced Business

Ryzen PRO 4000 PerformanceRyzen PRO 4000 Performance
AMD Ryzen PRO 4000 series represents a major generational leap in performance over the predecessors across the board including single-thread, multi-thread and graphics performance.[5]
For business environments that use the Microsoft Office suite, this also translates to an improved experience during typical office productivity tasks. From up to 19% improvement in light applications such as Microsoft Word, to up to 77% faster in more demanding applications like Excel.[6]

 

AMD PRO technologies – Security features, Simple manageability and Ready for Business

Ryzen PRO 4000 PRO technologies

AMD PRO technologies provides layers of security features, seamless manageability, and reliable longevity so you can work confidently. AMD innovations go beyond pure speed because today’s modern workplace needs every possible advantage.

 

Layers of Security Features with AMD PRO security

Ryzen PRO 4000 Security LayersRyzen PRO 4000 Security Features

Today’s sophisticated attacks demand a modern approach to help protect what’s important. AMD PRO security provides layers of defenses, from silicon up through OS and system level security. AMD PRO security includes features such as:

  • AMD Architecture: AMD “Zen 2” Core is architected with a focus on security to withstand today’s more sophisticated attacks
  • AMD Memory Guard: Full memory encryption to help protect sensitive data should your PC be lost or stolen[7]
  • OS and OEM Security Features: AMD works closely with Microsoft and OEMs to enable and complement their enterprise-level security features

 

 

Simple and Reliable with AMD PRO manageability and AMD PRO business ready

Ryzen PRO 4000 ManageabilityRyzen PRO 4000 Manageability

AMD Ryzen 4000 Series Processors with AMD PRO manageability enable IT Professionals to easily and confidently administer PC fleets within the organization. Whether your IT team is upgrading to modern manageability with Microsoft Endpoint Manager, Or you’re sticking to traditional management with common IT tools. AMD Ryzen PRO processors support both strategies, so you have the flexibility based on your business infrastructure.
AMD Ryzen PRO Processor are also an enterprise-grade computing solution just like all previous PRO processors. They are designed for quality and reliability, in addition to platform longevity, to help provide peace of mind.

 

Click Here to learn more about our new lineup of AMD Ryzen Processor for Business

 

David Tjong, Product Marketing Manager for AMD. His postings are his own opinions and may not represent AMD’s positions, strategies or opinions. Links to third party sites are provided for convenience and unless explicitly stated, AMD is not responsible for the contents of such linked sites and no endorsement is implied. GD-5
“Zen” is a codename for AMD architecture and is not a product name. GD-122


1. “Processor for business ultrathin notebooks" defined as 15W typical TDP. Testing as of 1/24/2020 by AMD Performance Labs on a Ryzen 7 PRO 4750U Reference Platform vs. i7-10710U (Dell XPS 13) vs. i7-1065G7 (Dell XPS 7390 2in1) vs. i7-8665U (Lenovo ThinkPad T490s). Results may vary. RNP-13
2. As of February 2020. Defined by Microsoft secured core PC – Modern security RNP-22
3. Tested on MobileMark 14; Actual battery life will vary based on several factors, including, but not limited to: system configuration and software, settings, product use and age, and operating conditions. AMD has not independently tested or verified the battery life claim. GD-168..
4. As of February 2020. "Most advanced technology " defined as superior 7nm process technology in a smaller node, 15W typical TDP. RNP-18
5. Testing as of 1/24/2020 by AMD Performance Labs on a Ryzen 7 PRO 4750U Reference Platform vs. Ryzen 7 PRO 3700U (HP EliteBook 745 G6). 3DMark is a registered trademark of Futuremark Corporation. Results may vary. RNP-5
6. Testing as of 1/24/2020 by AMD Performance Labs on a Ryzen 7 PRO 4750U Reference Platform vs. Ryzen 7 PRO 3700U (HP EliteBook 745 G6). PCMark is a registered trademark of Futuremark Corporation. Results may vary. RNP-6
7. For general business laptops and desktops, the AMD Memory Guard feature is included in AMD PRO processors. PP-3

Ryzen PRO 4000 EndnotesRyzen PRO 4000 EndnotesRyzen PRO 4000 Endnotes

Relational Database Management Systems (RDBMS) have a half century of history. They laid the foundation for modern business computing. Today, many types of data stores and data management systems are deployed. Still, RDBMS remains the core of enterprise applications for transaction processing, business analytics, and decision support systems – all part of the enterprise business.

 

While the foundational aspects of RDBMS remain the same, many enterprises demand NoSQL systems, Object Stores and others for real-time processing over vast amounts of data. With “Data-driven decision making” an increasingly common theme across businesses today, smart data processing helps to bring mission-critical business insights to the fingertips. Plus, thanks to the technological innovations for enabling the democratization of data, many applications and data that were once available only for resource-rich enterprises, are now available to businesses of all sizes.

 

Trading, fraud and anomaly detection, recommendation engines, logistics management, transportation route planning, financial modeling, activity trackers, and many more applications require extreme compute power to consume a huge amount of data in real-time in order to bring insights to modern businesses. These businesses have realized that real-time analytics capabilities can provide a competitive advantage in today’s data-driven world. Their urgency for faster competitive insights from data is driving greater demand for computing power in enterprise data centers across the globe. In response to this growing demand, we at AMD have introduced three new processors in the 2nd Generation AMD EPYC Processor family.

 

AMD EPYC 7Fx2 Processors

With up to 500MHz of additional base frequency over existing 2nd Gen EPYC processors and large amounts of L3 cache per core, AMD EPYC 7Fx2 features the world’s highest per-core performance x86 CPU1. These new processors are taking computing performance to new heights by pushing the limits of computing throughput in every AMD “Zen 2” core to deliver the most performance. With the increased L3 cache that helps to keep data close to the execution core, the new AMD EPYC 7Fx2 processors bring leadership performance to relational databases for transactional processing and real-time analytics.

 

Processor

Base Frequency

Boost Frequency2

(up to)

 

Cores / Processor

Memory Channels

Maximum Memory / Socket (DDR4-3200)

PCIe Gen4 Lanes / System

AMD EPYC 7F32

3.7 GHz

3.9 GHz

8

8

4 TB

128

AMD EPYC 7F52

3.5 GHz

3.9 GHz

16

8

4 TB

128

AMD EPYC7F72

3.2 GHz

3.7 GHz

24

8

4 TB

128

 

At AMD, we have worked closely with ecosystem partners in optimizing the performance of leading RDBMS on AMD EPYC processors to offer companies like yours the best performance and low TCO.

 

Another unique aspect of the AMD 7Fx2 EPYC processor is its ability to support up to 4TB memory per processor. That is 8TB of memory in a standard two-processor system places a large amount of data close to the processors enabling real-time analytics over large datasets. In addition, the 2nd Gen EPYC family’s industry-first support for PCIe 4 enables high-speed network connectivity, NVMe storage and connectivity to accelerators (FPGA, GPU, etc.).

 

Let me highlight three examples.

 

1) Microsoft SQL Server is a leading RDBMS. SQL Server 2019 builds on previous releases to grow as a platform that gives you choices of development languages, data types, on-premises or cloud environments, and operating systems.

 

The results below demonstrate how AMD EPYC based systems deliver high performance for Online Transaction Processing (OLTP) performance with Microsoft SQL Server 2019.

 

 

2) Another example I’d like to bring up here is with AMD EPYC processors with Oracle Database, a multi-model database management system. Oracle Database continues to deliver leading-edge innovations, including machine learning, to enable self-driving data management. This enterprise-proven, database cloud service is designed to support mixed workloads through any deployment strategy, on-premises, or in the cloud.

 

Best performance for database applications is the synergic outcome of number of vCPUs, size of memory, storage with high throughput IOPS and network speed configured on the instance types used on the infrastructure side.  A performance leadership similar to Microsoft SQL Server was found when we tested AMD EPYC 7Fx2 Processors with Oracle Database 19c on RHEL 7.7 using HammerDB.

 

3) I can quote many more examples on the performance leadership of AMD EPYC 7Fx2 family of processors but will bring up one more here. Read the results from the test on MySQL using IBM Cloud Bare Metal Servers to see how capable IBM Cloud Bare Metal Instances are at optimizing the I/O throughput for database applications.

 

While we focused on bringing the highest possible performance to your data center, we kept a laser focus on helping ensure your cost efficiency. AMD EPYC processors enable sustained transaction throughput and linear scaling that allows you to right-size the compute power for your application needs to more easily achieve a lower total cost of ownership -- you pay only for the cores you actually need and optimize your core-based software licensing model costs.

 

With innovative architecture and security features, the new AMD EPYC 7Fx2 processors can provide enterprise data centers running transactional databases on SQL Server with up to 10% higher TPM per-core performance at an estimated 35% lower CPU cost per TPM2. We are here to help you derive faster insights from your data center.

 

Contact your preferred IT infrastructure provider and start accelerating your time to insight.

 

ENDNOTES

  1. Highest per core performance in the world based on EPYC 7F32 (8-cores) having the highest SPECrate 2017_fp_base score divided by total core count, of all SPEC publications as of 4/14/2020. 1x EPYC 7F32 (8-cores) scoring 12.875 base result per core (103 SPECrate 2017_fp_base/16 total cores, www.spec.org/cpu2017/results/res2020q2/cpu2017-20200316-21228.pdf) compared to the next highest result 1x AMD EPYC 7262 (8-cores) scoring 11.54 base result per core (92.3 SPECrate 2017_fp_base/8 total cores, http://spec.org/cpu2017/results/res2020q1/cpu2017-20191220-20435.pdf) See www.spec.org/cpu2017/results for full ranking. SPEC and SPECrate are trademarks of the Standard Performance Evaluation Corporation. Learn more at www.spec.org ROM-570
  2. Testing as of 3.20.2020 by AMD Performance Labs. Up to 10% higher SQL Server tpm-per-core/lower cost-per-tpm. Workload: HammerDB 3.3 (TPC-C profile - The workload is derived from the TPC-C Benchmark, and as such is not comparable to published TPC-C Benchmark results, as the HammerDB OLTP workload results do not comply with the TPC-C benchmark). Configurations: 2x EPYC 7F32 (16C total, $4200) scoring 2,692,958 tpm (168,310 tpm per core at $0.00156 per tpm). 2x Xeon Gold 6244 (16C total, $5850) scoring 2,446,340 tpm (152,896 tpm per core at $0.00239 per tpm). Results may vary. ROM-572

I introduced the 2nd Generation of AMD EPYC and its world record capabilities for the data center ecosystem when we launched the 2nd Gen in this blog. Now, continuing the legacy of choice without restriction, the next set of AMD EPYC 7002 Series Processors brings the world’s highest per-core performance x86 server CPU*. With a balanced architecture, the 2nd Gen AMD EPYC 7Fx2 processors increase the boost and max frequencies by 500MHz. That, combined with the industry's most robust L3 cache per core ratio, enables applications to optimize each SoC's core capabilities. Make the most of your software investment - especially if paying on a per-core or per-job basis.  

 

Designed to redefine the modern data center, the new processors bring leadership per-core performance for enterprise workloads in hyperconverged infrastructure, commercial HPC, and relational databases. The 2nd Gen AMD EPYC Processors deliver World Record performance on many industry-standard benchmarks and bring performance leadership into the following areas:

  • Hyperconverged Infrastructure: Supported by industry-leading platforms such as Nutanix and VMWare vSAN, the new AMD EPYC 7Fx2 processors enable groundbreaking performance for HCI. Nutanix announced that Nutanix HCI software would support select AMD EPYC based HPE ProLiant servers by May, and the upcoming availability of AMD EPYC 7Fx2 processors on DX platforms in Q3. The popular infrastructure benchmark, VMMark 3.1 running on vSAN, scored 13.27 at 14 tiles (collection of VMs) using the new 2nd Gen AMD EPYC 7F72 Processor – a world record performance for 4-node, 8-socket clusters that are 47% higher than the next closest competition using 25% fewer cores. Here is a link to the results. 
  • Relational Database Management Systems: Process mission-critical workloads for modern enterprises. High-performance CPUs, massive memory footprint, and industry-leading I/O enable high performance for transactional (OLTP) and Decision Support System (DSS) performance. Our internal tests show Relational Database Management Systems like Oracle Database 19c and Microsoft SQL Server 2019 perform significantly better than other comparable industry CPUs. AMD EPYC and its ecosystem partners offer jointly engineered solutions for big data workloads. With a large cache per core, ample memory capacity and bandwidth, and massive I/O combine in the right ratios of the EPYC 7002 series processors help enable breakthrough performance. For example, the EPYC 7Fx2 processor sets a new overall world record on an industry-standard Internet-of-Things benchmark.
  • High Performance Computing: Many high-performance computing (HPC) workloads require a balance between performance and per-core license costs to manage overall costs. AMD EPYC processors offer a consistent set of features across the product line, allowing you to optimize the number of cores required for the workload without sacrificing features like memory channels, memory capacity, or I/O lanes. Regardless of the number of physical cores per socket, you will have support for eight channels of up to DDR4-3200 MHz memory per processor across all processors. This exceptional memory bandwidth paired with large cache per core helps you get the most out of your system by optimizing execution time and overall utilization of your deployment. In AMD Performance Labs, we tested Ansys CFX 2019 R1 and across five test cases, we saw an average per-core performance gain of 94% on the 16-core EPYC 7F52 compared to 16-core Intel XeonGold 6242. Other testing completed includes LSTC LS-Dyna AnsysFluent, Dassault Systèmes Abaqus, Altair Radioss OpenFoam, and WRF as a few examples of HPC applications that can benefit from the new EPYC 7Fx2 processors.

 

With the AMD EPYC 7Fx2 processors, AMD EPYC CPUs continue to be the new standard for business applications in enterprise data centers and maintain an exceptional focus on real-world outcomes and balanced architecture. At AMD, we are committed to continuing our journey of innovative leadership. A journey focused on bringing the leadership performance and total cost of ownership across key application areas in your data center.

 

We are grateful to our partners who have collaborated with our engineers for a wide range of data center use cases by engineering solutions that help deliver high performance and efficiency at a lower total cost of ownership:

Altair, Ansys, Asrock, Asus, Atos, AWS, Baidu AI Cloud, Beamr, Broadcom, Cadence, Canonical, Ceph, Cisco, Citrix, Cloudera, Cloudflare, Couchbase, Cray, Datastax, Dassault Systèmes, DellEMC, Docker, Dropbox, Elastic, Ericsson, ESI, Excelero, Foxconn, Gigabyte, Google, H3C, Hadoop, Hetzner, Hortonworks, HPE, IBM Cloud, Inventec, Java, Lenovo, LSTC, MapR, MarkLogic, Mavenir, Mellanox, MemSQL, Mentor, Micron, Microsoft, Microfocus | Vertica, MongoDB, Netscout, Nokia, Nutanix, NVIDIA, Oracle, OVH, Packet, PGS, PostgreSQL, QCT, Quobyte, Redislabs, Rehat, Samsung, SAP, SAS, ScaleMP, Seagate, Siemens, Simplivity, SKhynix, Splunk, SQL Server, Stormagic, Supermicro, SUSE, Synopsys, Tencent Cloud, Transwarp, Tyan, VMware, Weka.io, Western Digital, Wistron, Wiwynn, Xilinx.

 

Raghu Nambiar is a CVP of Datacenter Ecosystems & Application Engineering for AMD. His postings are his own opinions and may not represent AMD’s positions, strategies or opinions. Links to third party sites or use of third party names/marks are provided for convenience and unless explicitly stated, AMD is not responsible for the contents of such linked sites and no endorsement is implied.

 

ENDNOTES

*EPYC 7F32

  1. 2nd Gen AMD EPYC processors used on motherboards designed for the 1st Gen AMD EPYC processor require a BIOS update from your server manufacturer.  The EPYC 7742, 7642 and 7542 are 225w parts and require additional updates, contact your server manufacturer for support. For PCIe4 and DDR4-3200 memory support, please contact your server manufacturer. A motherboard designed for 2nd Gen EPYC processors is required to enable all available functionality. ROM-06a
  2. EPYC002 series has 8-memory channels, supporting 3200 MHz DIMMs yielding 204.8 GB/s of bandwidth vs. the same class of Intel Scalable Gen 2 processors with only 6-memory channels and supporting 2933 MHz DIMMs yielding 140.8 GB/s of bandwidth. 204.8 / 140.8 = 1.454545 - 1.0 = .45 or 45% more. AMD EPYC has 45% more bandwidth. Class based on industry-standard pin-based (LGA) X86 processors. ROM-11
  3. For a complete list of world records, see http://amd.com/worldrecords. ROM-169
  4. Each 2nd Gen AMD EPYC processors support up to 4TB of DRAM. Intel Scalable Platinum 8200 and lower series processors can support up to 2TB of DRAM per ark.intel.com, July 9, 2019. Class based on industry-standard pin-based (LGA) X86 processors. ROM-265
  5. Based on AMD internal testing of ANSYS CFX2019 R1 running Release 14.0 test cases as of 3/24/2020 on a 2x EPYC 7F52 (16C) powered reference server versus a 2x Intel Xeon Gold 6242 (16C) powered server. Results may vary. ROM-590
  6. AMD EPYC 7F32 with 8-cores and 128MB of L3 cache has ~3.6x more L3 cache per core than the next highest competitive same core-count CPU from Intel, the IntelXeon Gold 6250 processor with 8-cores and 35.75MB of L3 cache. 128 / 35.75 = 3.5804 or ~3.6x the L3 cache or ~2.6x more L3 cache per core. ROM-604
  7. 47% higher score amd 56% more tiles (VMs) based on VMmark 3.1 vSANcomparing 2x EPYC 7F72 scoring 13.27 @ 14 tiles (266 VMs), https://www.vmware.com/content/dam/digitalmarketing/vmware/en/pdf/vmmark/2020-04-14-DellEMC-PowerEdge-R6525.pdf compared to the next highest competitive result on 2x Intel Xeon Platinum 8276L scoring 9.00 @ 9 tiles (171 VMs), https://www.vmware.com/content/dam/digitalmarketing/vmware/en/pdf/vmmark/2019-08-12-Hitachi-UCPHC-V124N.pdf). 47% higher score = 13.27/9 = 1.474x the score and 56% more tiles (VMs) = 14/9=1.555x the tiles (VMs) as of 4/14/20. VMmark is a product of VMware, Inc. ROM-639
  8. Best published TPCExpress Benchmark IoT Overall world record result as of 04/01/20. Configuration: 2nd Gen EPYC 7F72 powered server with 4-nodes, 1-socket scoring 2480917.6 IoTps ($0.18 USD/IoTps, avail 4/14/20, tpc.org/####). The next highest published score is on a 2nd Gen EPYC 7502P powered server with 4-nodes, 1-socket scoring 2199052.90 IoTps ($0.20 USD/IoTps, avail 3/30/20, http://www.tpc.org/5758). TPC, TPC Benchmark and TPC-C are trademarks of the Transaction Processing Performance Council. ROM-626

With the AMD EPYC™ processor family, our goal is to provide our customers the right performance, in cores and speed, for the workloads they run in their environment. Today, we’re growing the EPYC family and giving our customers more performance choices for their workloads.

 

When we introduced the 2nd Gen AMD EPYC™ processor, we were the first to bring an x86 server processor with 64 cores to the market. Today, we're now adding our fifth 64 core processor to the 2nd Gen EPYC stack with the AMD EPYC™ 7662. This processor is a great entry point into the 64-core market, providing customers access to the same high-performance 'Zen 2' cores as one of the world's fastest x86 server processors with the AMD EPYC 7H12[i], but at a lower cost point compared to other mainstream AMD EPYC 64 core processors.

 

The other new addition, the AMD EPYC™ 7532, provides customers with a high performance, 32 core processor with a total of 256MB of L3 cache, the same amount as the 2nd Gen EPYC 64 core processors. The AMD EPYC 7532 is great for cache sensitive workloads, like ANSYS® CFX®, giving each core access up to 8MB of L3 cache. On average across all ANSYS CFX benchmarks, the AMD EPYC 7532 has 111% better performance compared to the Intel Xeon 6248.

 

These two processors still have all the features of the 2nd Gen AMD EPYC processor family including 128 lanes of PCIe® 4.0, support for up to 3200MHz memory and advanced security features[ii].

 

Dell Technologies and Supermicro will be the first partners to support these two new processors. Both processors are available now on the Dell EMC PowerEdge R6515, R7515, R6525, R7525 and C6525 servers. Both processors are also available now on all Supermicro A+ servers, while the Supermicro “Big Twin” server supports the AMD EPYC 7532. HPE and Lenovo are expected to support these two new AMD EPYC processors in the coming months.

 

Learn more the new processors here and see product details below.

 

Model

Default TDP (W)CoresThreadsBase Frequency (GHz)Max. Boost Frequency (Ghz)[iii]L3 $ (MB)
7662225W641282.0GhzUp to 3.3Ghz256MB
7532200W32642.4GhzUp to 3.3Ghz256MB

 

 

[i] 2P 2nd Gen EPYC™ 7H12 powered server has set the 2-socket world record on the SPECrate® 2017 Floating Point (Base) benchmark with a score of 529 SPECrate® 2017_fp_base. http://www.spec.org/cpu2017/results/res2019q4/cpu2017-20190918-18500.html as of 11/13/19. ROM-396

[ii] Some supported features and functionality of 2nd Gen AMD EPYC™ processors require a BIOS update from your server manufacturer when used with a motherboard designed for the 1st Gen AMD EPYC series processor. A motherboard designed for 2nd Gen EPYC processors is required to enable all available functionality. ROM-06

[iii] Max boost for AMD EPYC processors is the maximum frequency achievable by any single core on the processor under normal operating conditions for server systems. EPYC-18

We are excited to be at SC’19 with our friends and family of ecosystem partners. I’d like to share my thoughts on how AMD has unleashed the EPYC revolution for HPC. AMD is all about innovation and our mission is to deliver products that help to solve the world’s toughest challenges – in life sciences, earth science, energy, manufacturing, fundamental research, oil and gas, machine intelligence and many more. We celebrated our 50th anniversary milestone this year with what analysts called the ‘7nm storm’. The 7nm EPYC, Radeon and Ryzen processors bring new possibilities to the new era of computing with ground-breaking performance and outstanding power efficiency driving lower TCO.

 

Creating an inflection point with trailblazing performance and unprecedented scalability for today’s HPC workloads, AMD EPYC processors mark the next milestone in “exascale computing” characterized by compute power in exaFLOPS, or a quintillion floating-point calculations per second. AMD is uniquely positioned to lead the exascale era with CPU and GPU technologies. We are collaborating with the US Dept of Energy, Cray and Oak Ridge National Laboratory to build the world’s fastest supercomputer named Frontier, expected to hit 1.5 exaflops. This will be five times faster than today’s top supercomputers. Powered by AMD CPUs and GPUs, Frontier will help model the entire lifespan of a nuclear reactor, uncover disease genetics, and build on recent developments in science and technology to further integrate artificial intelligence with data analytics and modeling and simulation.

 

HPC touches every aspects of lives. HPC in the enterprise segment also is being accelerated as many industries are looking for faster and safer solutions for real world problems, challenging the status quo to find breakthrough innovations in fields such as weather modeling and simulation, materials and manufacturing industries, oil and gas, healthcare and medicine, to name a few. HPC requires high performance CPUs.

 

HPC is all about high performance CPUs. AMD EPYC offers a range of processor options for HPC. Let me highlight two specific CPUs from our broad portfolio of processors. EPYC 7542, with 32 cores (2.9GHz base, up to 3.4GHz boost, 225W TDP) and 128MB of L3 cache, has been a popular option in the middle of the market, while EPYC 7742, with 64 cores (2.25GHz base, up to 3.4GHz boost, 225W) and 256MB of L3 cache, has been a popular choice at the high end. New addition to our innovative portfolio is the EPYC 7H12 which packs 64 cores (2.6GHz base, up to 3.3GHz boost, 280W TDP) specifically built for extreme performance. Here are some examples of how AMD EPYC steps up the game, yet again. Our ecosystem partners have announced highly optimized server platform for HPC to address the performance and scalability needs of emerging demands.

 

Faster Weather Forecasting

We are reminded of the importance of weather forecasting every day. AMD EPYC empowers solutions to more efficiently predict weather, including weather-related natural disasters, which helps reduce the enormity of losses caused by these disasters. 

 

The Weather Research and Forecasting (WRF) Model is a popular application for predicting weather. It is used for both atmospheric research and operational weather forecasting applications. It’s data assimilation system and parallel compute capability allows WRF to server a wide range of meteorological applications.

 

AMD EPYC demonstrates exceptional performance and scalability running WRF and AMD EPYC 7742 has been a popular choice for it. With 128 cores and 256 threads in dual CPU configurations EPYC 7742 powered servers have demonstrated approximately twice the performance of our previous generation of EPYC processors. Since WRF is open source, there are no software license costs to consider in choosing the number of cores that you run.

See additional 2nd Gen AMD EPYC performance test reports running WRF use cases here.

 

Building Faster Physical Models through Computational Fluid Dynamics

Computational Fluid Dynamics (CFD) is another critical workload for solving today’s engineering challenges. We have tested several CFD codes and demonstrated industry leading performance on AMD EPYC 7002 series of processors. I want to highlight ANSYS CFX, a popular application which has a long history and is best known for its ability to simulate turbomachinery accurately and quickly.  Let us look at a performance of ANSYS CFX running on two mid-range SKUs – Intel Xeon Gold 6248 processor with 20 cores, 2.5GHz base frequency and 27.5MB cache, and, AMD 2nd Gen EPYC 7542 with 32 cores, 2.5GHX base frequency and 128MB of cache. 

On five standard ANSYS CFX benchmark models, the 2nd Gen AMD EPYC 7542 significantly outperforms the Xeon Gold 6248. Efficiently running this many cores per CPU with stellar results allows for much denser solutions.  More density with better performance allows reductions in total systems required resulting in, lower power, and a smaller footprint in the data center. 

 

Automotive Safety is Top of Mind

Driving a safe car is one of the highest priorities for consumers. Designing a safe car quickly is one of the highest priorities for automotive manufacturers. Designing better and safer products requires the engineers to predict the consequence of any design changes on the real-world performance of their product. 2nd Gen AMD EPYC allows car makers to analyze the safety of their designs faster, leading to safer cars and faster time to market. 

 

Altair Radioss is a leading structural analysis solver and has established itself as a leader and an industry standard for automotive crash, drop & impact analysis, terminal ballistic, blast and explosion effects and high velocity impacts.

Altair Radioss was used to compare the performance of the highest core-count 2nd Gen EPYC processor (AMD EPYC 7742) vs. the highest core-count industry-standard pin-based (LGA) competitive processor (Intel Xeon Platinum 8280).  We ran 2 standard benchmarks on both systems.  The results are summarized below.

Comparing the top of the product stack of 2nd Gen EPYC processors and Intel Xeon Platinum processors, once again demonstrates the dominant performance of the 2nd Gen EPYC processors.  The 7742 is 38% faster on average than the Intel Platinum 8280 across these two benchmark models.

 

See how AMD EPYC supports real world simulation for safety from the performance test results on Radioss.

2nd Generation EPYC processors are truly changing the game in HPC, delivering exceptional performance on real-world workloads.  Talk to your AMD sales team, your software partner, or your server partner to find out which AMD EPYC processor best fits your workload’s demands.  Innovation is in our DNA.  We are just getting started on the EPYC journey to revolutionize HPC!

 

We are grateful to our technology partners who have collaborated with our engineers in creating a wide range of datacenter application use cases:  Altair, Ansys, Atos, Broadcom, Cadence, Cray, Dassault Systems, Dell EMC, Docker, ESI Group, Gigabyte, HPE, LSTC, Mellanox, Mentor Graphics, Microsoft, Micron, Mentor Graphics, Microsoft, Oracle, Red Hat, Samsung, ScaleMP, Siemens PLM, Supermicro, SUSE, Synopsys, WekaIO, Xilinx and others.

 

Raghu Nambiar is the CVP & CTO of Datacenter Ecosystems & Application Engineering for AMD. His postings are his own opinions and may not represent AMD’s positions, strategies or opinions. Links to third party sites are provided for convenience and unless explicitly stated, AMD is not responsible for the contents of such linked sites and no endorsement is implied.