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15 Posts authored by: raghu.nambiar Employee

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.

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.

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

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. 

This is an EPYC revolution! The history of AMD innovation continues today with the launch and availability of select AMD EPYC 7002 Series Processors. The second-generation milestone in the AMD EPYC family builds on the disruptive datacenter products that AMD first established with the original EPYC 7001 Series. With the first 7nm x86 server technology, first PCIe Gen 4 readiness1, and the first x86 server architecture with DDR4-32001 we bring expectation-shattering performance and exceptional scalability to your data center ecosystem with our new lineup.

 

Architectural innovations in AMD EPYC 7002 Series Processors are designed to deliver exceptional performance with unique security features, for a variety of workloads that matter to you -  on traditional bare metal, software defined, converged and hyper-converged infrastructures in private, public, and hybrid cloud environments. We know today’s connected world is unleashing huge quantities of data every second. Data center operational cost efficiency, space optimization, and faster application response times are critical.  AMD EPYC addresses them all and today we are announcing 80 world records across our ecosystem.

 

Let’s take a closer look at how the ecosystem around AMD EPYC 7002 Series Processors enable support for your business:

 

Ready today with support for major operating systems and hypervisors

AMD has close relationships and joint engineering engagements with major operating systems and hypervisor vendors enabling key features and optimizations. A key focus of AMD EPYC 7002 Series Processors are the security features to help defend your CPU, applications, and data. Data centers around the globe are constantly adapting to securely meet the current workload demands while planning for future needs. Secure Memory Encryption (SME) uses a single key to encrypt system memory and Secure Encrypted Virtualization (SEV) and further extends that feature by enabling each guest in a public or private cloud instance to be encrypted by a unique key. With SME and SEV, users can have greater confidence the security capability surrounding their private data. The growing community of operating system vendors that support SEV includes Canonical, Fedora, Oracle, RedHat, and SUSE. VMware has also committed to support AMD security features in a future release of vSphere.

Comprehensive offering in High Performance Computing (HPC)

High performance computing (HPC) powers new technology advancements in academia and a wide array of industries across both the public and private sectors. Scientific research, public health, climate modeling, as well as oil and gas exploration are just a few examples where HPC is the driving force behind new innovations and knowledge discovery. (AMD CPUs and GPUs will power the new Frontier exascale supercomputer at Oak Ridge National Laboratory in 2021.) Innovative architecture of AMD EPYC 7002 Series brings tremendous performance and scalability for HPC applications, offering you a choice in x86 architecture while optimizing total cost of ownership.

 

The 4Vs of Big Data Analytics

Data is growing at exponential rates, often characterized by the 4Vs - Volume, Velocity,  Veracity and Value - big data analytics is fueling the digital transformation across industry, research and governments. The demand for computing power is increasing apace, but often IT budgets and data center space are not. AMD EPYC processors’ single socket with no compromise on features can offer the performance and efficiency for a broad set of big data analytics applications. World record benchmark results from our partners clearly demonstrate the high performance and lower cost of ownership advantages one processor can have compared to two socket systems from small to large scale.  Combined with larger and faster memory, massive I/O throughput and a high-speed network you can be ready to face any big data challenge.

 

Don’t forget Relational Databases

Relational databases continue to be central to mission-critical applications from transactional operations to decision support systems. The emergence of mobile technology is redefining the e-commerce across industry verticals. Complex online transactions and analytics to gain insights in real-time is a must for staying ahead in business today. AMD EPYC 7002 Series Processors bring hi-speed memory and high performance I/O to support high performance for data intensive applications. We are happy to announce new industry leading performance benchmark results today using relational database management systems with our ecosystem partners.

 

Number of virtual machines surpassed the number of physical machines a long time ago. It’s all about clouds – private and public

The AMD EPYC 7002 Series value proposition is simple: more cores open the door for more virtual machines, better consolidation, lower cost, and simpler management. 7nm technology enables powerful and efficient processors that are capable of delivering more performance at the same power2. AMD EPYC 7002 Series Processors' high core count, DDR4-3200 capable memory, high performance IO and connectivity with PCIe 4.0, security features and compelling energy efficiency are a strong match for today’s highly virtualized data center. Outstanding performance in VMmark, SPECvirt and TPCx-V are testaments to performance and efficiency. This provides strong value for all kinds of virtual environments, including VM dense applications (such as VDI), Containers, hyperconverged solutions (such as vSAN, Nutanix, HPE SimpliVity) and cloud native applications.

 

Offering the latest and greatest from the hardware ecosystem

We have a long history of being the first to bring key technologies to market. Today we announce support for PCI 4.0, doubling the bandwidth from PCIe 3.0. Double the bandwidth is a HUGE improvement from the previous generation of AMD EPYC processors and first in the x86 server world.  This is a tremendous advantage in the data center, and will enable significant reduction in network interfaces cards, switch ports, cables, and of course management points. PCIe 4.0 also enables faster connectivity to high speed GPUs and accelerators, as well as NVMe devices.

 

We owe a big thanks to our partners

Today would not be possible without the incredible support of our ecosystem partners. Our broad partner ecosystem and collaborative engineering provide solutions that help deliver high performance and efficiency at lower total cost of ownership.

 

We are grateful to our partners who have collaborated with our engineers for a wide range of datacenter use cases:

Altair, Ansys, AWS, Beamr, Broadcom, Cadence, Canonical, Citrix, Cloudera, Cloudian, Couchbase, Dassault Systèmes, DataStax, Docker, ESI Group, Exasol, LSTC, MapR, Mavenir, Mellanox, MemSQL, Mentor Graphics, Microsoft, Micron, MongoDB, NetScout, MapR, Mavenir, Mentor Graphics, Microsoft, MongoDB, NetScout, Nokia, Nutanix, Oracle, Quobyte, Red Hat, Redis Labs, SAP, SAS, Samsung, ScaleMP, Siemens PLM, Splunk, StorMagic, SUSE, Synopsys, Transwarp, TigerGraph, Vertica, VMware, WekaIO, Xilinx.

 

 

 

Check out our documents here: Solutions Briefs and Performance Briefs.

 

 

  1. Some supported features and functionality of second-generation AMD EPYC processors (codenamed “Rome”) require a BIOS update from your server manufacturer when used with a motherboard designed for the first-generation AMD EPYC 7000 series processor.  A motherboard designed for “Rome” processors is required to enable all available functionality. ROM-06.
  2. EPYC-07: Based on June 8, 2018 AMD internal testing of same-architecture product ported from 14 to 7 nm technology with similar implementation flow/methodology, using performance from SGEMM. EPYC-07

As AMD celebrates 50 years as a company, one of our latest innovations for the enterprise, the AMD EPYC™ processors, have gained momentum across datacenter and cloud computing segments. One of the key areas where we see tremendous traction is in hyperconverged infrastructures (HCI). Today we are excited to announce a technology partnership with Nutanix, an established leader in hyperconvergence delivering a full software stack that integrates compute, virtualization, storage, networking and security to power applications at scale.

 

AMD and Nutanix have worked together on optimizing Nutanix’s hyperconverged software, Acropolis OS, on AMD EPYC processors. The teams have been collaborating closely for several months and look forward to bringing Nutanix validated EPYC processor-based servers to the market from leading server OEM manufacturers.

Nutanix has already embarked on the path for enabling choice in hypervisors by enabling support for its own AHV, as well as VMWare ESXi®, and Microsoft® Hyper-V, and with the enablement of these hypervisors on EPYC, AMD and Nutanix will be increasing x86 CPU choice for datacenter customers.

 

Together AMD and Nutanix are bringing out the true value of the EPYC processor, leveraging its impressive PCIe® connectivity, memory bandwidth and memory capacity. In addition to the TCO savings that customers can get with Nutanix hyperconvergence software, AMD and Nutanix are optimizing on AMD EPYC processor-powered single socket servers to enable even further TCO savings to datacenter customers. We expect the combined EPYC processor + Nutanix solution to shine on several workloads such as VDI, virtualized storage, and containerized applications.

 

EPYC Processor Hyperconvergence

The AMD EPYC processor is ideally suited for hyperconvergence by providing high performance compute coupled with impressive I/O for native connectivity to storage. EPYC System-on-Chip (SoC) performance scales linearly and uniformly across cores helping minimize performance variation within applications.

Designed from the ground up for a new generation of solutions, AMD EPYC implements a philosophy of choice without restriction. Choose the number of cores and sockets that meet your needs without sacrificing key features like memory and I/O.

Each EPYC SoC can have from 8 to 32 cores with access to incredible amounts of I/O and memory regardless of the number of cores in use, including 128 PCIe® lanes, and support for up to 2 TB of high-speed memory per socket.

The AMD + Nutanix journey has just begun. Stay tuned for updates; fully supported Nutanix solutions on EPYC based OEM servers are planned for summer 2019.

 

AMD is proudly sponsoring Nutanix.NEXT 2019. We look forward to seeing you at the event where you can learn more on the value that Nutanix and AMD bring to customers deploying HCI.

 

Raghu Nambiar is the CVP & CTO of Datacenter Ecosystems & Application Engineering at 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

We have talked a lot about the value proposition for EPYC™ processors in virtualized environments, including a potential TCO savings of up to 45% in scenarios where AMD estimates competitive dual-socket system costs against the costs of a single EPYC processor-based system. The scalability AMD EPYC delivers to containerized applications and services using the Docker platform has received less attention.

Containers are a natural evolution of virtualization when it comes to increasing server efficiency even further. Separating the OS from the application removes the requirement to run a copy of the entire OS with each application on  a virtualized machine, allowing many more applications to run on a single VM . Containers allow developers to package up an application and its parts, such as libraries and other dependencies, and deliver it as a single package.

With the Docker platform, businesses have been able to modernize monolithic or traditional applications and transition them to a container-based solution.  Most business applications consist of several components organized into a stack: web server, database, and in-memory cache.  Containers make it possible to compose each component into separate functional units or packages that can be maintained, scaled and updated independently.  The Docker platform is a key technology for enabling this type of application design, often called a microservice model where each such functional component is a microservice.

 

 

AMD EPYC provides increased core density and flexibility to scale Docker-based microservices and applications up or down to meet spikes in demand or conserve system resources.  CPU response time increases linearly when all cores become saturated and the number of concurrently running containers continue to ramp up.  For CPU-intensive workloads,  EPYC capabilities enable system administrators to calculate how much CPU to over-provision depending on their applications Service Level Agreements (SLAs).

The Docker platform is available as both an open-source platform and enterprise-ready container platform for packaging, distributing, and managing applications within containers.

To learn more about the scalable performance of AMD EPYC in a Docker environment, please see three in-depth examples here.

Raghu Nambiar is the CVP & CTO of Datacenter Ecosystems & Application Engineering at 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

High-performance computing (HPC) has grown to a point where it is a critical component of new technology advancements in academia and a wide array of industries in both the public and private sectors. Scientific research, public health, climate modeling, as well as oil and gas exploration are just a few examples where HPC is the driving force behind new innovations and knowledge discovery.

 

Utilizing the x86-architecture, the AMD EPYC™ processor, brings together high core counts, large memory capacity, extreme memory bandwidth and massive I/O with the right ratios to enable exceptional HPC workload performance.

 

AMD is committed to creating a broad partner ecosystem with collaborative engineering to provide tested and validated solutions that are tuned for specific workloads. As a result, AMD EPYC processors are now certified with software vendors providing some of the most popular HPC solutions. Examples include: computational fluid dynamics (CFD), crash simulation, and finite element analysis (FEA).

 

For computational fluid dynamics (CFD), AMD partnered with ANSYS® to take advantage of the AMD EPYC processor’s ample memory bandwidth to enable exceptional performance with their Fluent® software. ANSYS Fluent is used by the automotive, aerospace, consumer goods, energy, and healthcare industries for modeling flow, turbulence, heat transfer, and reactions in applications ranging from air flow over an aircraft wing to combustion in a furnace.

 

Altair Radioss is a leading structural analysis solver for non-linear problems under dynamic loadings, like automotive crash analysis, drop and impact analysis, terminal ballistics, blast and explosion effects, and high velocity impacts. AMD collaborated with Altair to create an optimized solution for Altair’s PBS Professional, a fast, powerful workload manager designed for HPC clusters, clouds and supercomputers. PBS Professional maximizes the utilization of an AMD EPYC processor cluster and increases the job throughput of Radioss.

 

OpenFOAM®, is free, open source computational fluid dynamics software. OpenFOAM is used across numerous engineering and science organizations, most notably in automotive, energy and aerospace. It’s designed to solve a wide range of problems, from complex fluid flows involving chemical reactions, turbulence and heat transfer, to acoustics, solid mechanics and electromagnetics. OpenFOAM takes advantage of the AMD EPYC processor’s ample memory bandwidth and large memory capacity.

 

For finite element analysis (FEA), AMD collaborated with LSTC. LS-DYNA® is a general-purpose multi-physics, finite element analysis program capable of simulating complex real-world problems. Widely used by the automotive industry to analyze vehicle designs, LS-DYNA® can accurately predict a car's behavior in a collision and the effects of the collision upon the car's occupants. These workloads are complex requiring a balance between floating point performance, memory bandwidth and network bandwidth. AMD EPYC processor’s eight lanes of memory bandwidth enable the system to more efficiently use the cores in each server. With LS-DYNA® and AMD EPYC processors, automotive companies and their suppliers can test car designs without having to tool or experimentally test a prototype, thus saving time and expense.

 

In addition, AMD is investing heavily in high-performance computing for weather related codes. WRF, IFS and HYCOM are all sophisticated applications used in research and operational forecasting. All require a balance of computational power, large volume data ingestion and memory bandwidth. Initial testing of AMD EPYC processor-based systems by the HPC and AI Innovation Lab showed impressive results on memory bandwidth and core density per socket making AMD EPYC processor-based servers a good choice for many applications. AMD is continuing to collaborate with the community to optimize the entire stack for all weather-related codes.

 

AMD is committed to continually expanding our partner ecosystem to create jointly engineered, optimized solutions for our customers that lower implementation risk and improve total cost of ownership.

 

Raghu Nambiar is the CVP & CTO of Datacenter Ecosystems & Application Engineering at 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

 

After years of attending the Strata Data Conference, this is my first year at the show in my new role as Vice President and CTO of the Datacenter group for AMD. It’s also the first year for AMD’s new server processor, EPYC™, which only increases my excitement about the conference this week. The AMD EPYC processor is designed specifically for the modern datacenter with high core counts, access to large amounts of memory, ample memory bandwidth and massive I/O. All brought together with the right ratios to create an incredibly flexible workhorse able to meet the needs of a wide variety of workloads.

 

The big data revolution began with the ability to harness many computers in order to process large amounts of data (far larger than ever before). This was an innovative use of software that turned under-utilized smaller servers into a single data processing engine that unleashed the latent power of the data that is the beating heart of every business.

 

The next innovative leap provided the ability to process this huge volume of data in real-time. Advances in networking, storage and software technology enabled real-time streaming processing of huge volumes of data. We are now entering the next stage of innovation: real-time analysis. Analysis is what turns data into insight, and the combined efforts of the global community are making analysis of big data in real-time a reality. The AMD EPYC processors are perfectly matched to support the hardware underpinning all of the computation needed to support this effort.

 

We are proud to be part of a large and growing ecosystem of partners, many of them here at Strata New York: Hortonworks, MapR, DataStax and Couchbase to name just a few; all of whom are actively participating in this ongoing innovation. AMD’s most recent contribution is the EPYC SoC which employs a truly innovative design -  the “no compromise, single socket” system is now a viable choice to replace two-socket systems. This in turn drives down cost, improves energy usage and makes better use of space in the datacenter.

 

Business innovates with data. With AMD EPYC processors, that innovation extends all the  way down the stack into the processor itself. Stop by our booth (#954) at the conference to see some of the more than 50 server platforms that the AMD EPYC processor has been designed into, as well as information on our growing list of partnerships with independent software vendors.

Over the last 30 years, industry standard bodies like the TPC and SPEC have developed many standards for performance benchmarking. The motivation behind these standards is to create technically rigorous, vendor-neutral methods of comparison. These standards have enabled buyers to make more informed decisions about their purchases and have given designers and engineers baselines to better understand their systems, ultimately driving innovation and the development of faster, less expensive, and more energy efficient systems.

 

Looking back, the most influential and widely adopted standards were the SPEC CPU Benchmark Suites at the system level, and at the application level, the TPC-C (industry standard for benchmarking transaction processing systems), and the TPC-D and its successor, TPC-H (industry standards for benchmarking decision support systems). These were the forerunners to hundreds of benchmark results, appearing in publications and research papers, and driving an ever-expanding list of innovations.

 

Time marches on and technology-driven innovation continues its relentless advance. Let’s take a closer look at benchmark standards from the TPC in recent years. The TPC has kept pace with the technology, developing and releasing appropriate benchmark standards such as the TPCx-HS and TPCx-BB (benchmark standard for Hadoop based big data analytics), TPCx-DS 2.0 (benchmark standard for decision support on relational and non-relational database systems), and the TPCx-IoT (benchmark standard for IoT gateway systems). In line with the increasing use of virtualization in both private and public clouds, the TPC developed a complete end-to-end virtualization benchmark, TPCx-V.

 

So, what is TPCx-V designed for? It measures the performance of a server running virtualized databases, and models many properties of virtualized servers including: multiple virtual machines (VMs) running at different load levels, online transaction processing workloads, and decision support system workloads. It uses databases of different sizes and load levels, and simulates large fluctuations in the load levels within virtual machines mirroring real-life load elasticity.

 

I am a big fan of talking about the industry’s best and first-ever. For those who follow the evolution of database technologies and industry standards, I want to highlight some historical data: the first TPC-C1 and TPC-D2 results were published by IBM; the first TPC-H3 was published by Sun; more recently, the first TPCx-HS4 and TPCx-IoT5 were published by Cisco.

 

Today, it is my great pleasure to jointly announce the industry’s first ever TPCx-V result. The result was produced using an AMD EPYC™ processor in a Dell EMC server running VMWare.

 

The benchmark configuration consists of one Dell EMC PowerEdge R7415 with one AMD EPYC 7551P processor (32 core/64 threads), 256 GB DDR4 RAM (2400 Mhz) running VMware ESXi 6.5.0 U2 GA. The TPCx-V throughput performance is 541.5 tpsV and price/performance is 57.31 tpsV/$. The results were audited by a TPC certified auditor. The full disclosure report can be found here.

 

Standards-based architectures continue to be the platforms of choice in both private and public clouds, and now AMD has brought choice back to the marketplace. AMD EPYC™ processors offer not only an industry standard based architecture, but many innovations for performance, density and security. I encourage you to learn more about AMD EPYC™ processors in virtualized environments and consider AMD for your next datacenter upgrade cycle.

 

Click here for more information about AMD’S innovative new EPYC™ processors

Click here for more information about TPC

 

Footnotes:

  1. First TPC-C publication: 54 tpmC, $188,562/tpmC, 12/1995, IBM. Fastest as of today: 30,249,688 tpmC, $1.01/tpmC, 12/2010, Oracle
  2. First TPC-D publication: 84 QthD, $52,170/QphD, 09/1992, IBM
  3. First: TPC-H publication 1,280 QthH, $816/QphD, @100GB, 09/1999, Sun. Fastest as of today: 11,612,395 QphH, $0.37/QphH @100TB, 9/2014, Dell
  4. First TPCx-HS publication: 5.07 HSph,$121,231.76/HSph @1TB, 1/2015, Cisco. Fastest as of today: 23.42 HSph, $36,800/HSph @30TB, 10/2015, Cisco
  5. First TPCx-IoT publication: 142,493.85 IoTps,$0.94/ IoTps, 11/2017, Cisco

 

Raghu Nambiar is Corporate Vice President & CTO, Datacenter Ecosystem & 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.  GD-5

We just celebrated the one year anniversary of the introduction of the AMD EPYC processor. As exciting as it is to look back, in this industry we must continue to look forward.

The world is undergoing unprecedented change driven by technology advances that are connecting billions of people to the internet and to each other, creating enormous amounts of data in the process. These connections and data represent an opportunity for companies to improve their business, create new revenue streams, even invent whole new models to solve the world’s most challenging problems.

Whole industries are being transformed as state-of-the-art software running on innovative processors demonstrate both the collective and personalized power of analytics harnessing big data. Healthcare systems that leverage the totality of medical data for personalized diagnosis; recommendation systems for targeted marketing to better serve the customer; transportation systems that reduce traffic and improve routing are just a few examples. There are many more: education, smart cities, genomics, drug discovery, energy efficiency, safety, security, etc.

Many of these systems use services that are now easily accessible to anyone through cloud providers. These providers run huge storage and server farms all built on a foundation of massive compute power with the flexibility to handle a wide variety of workloads.

The revolutionary AMD EPYC processor has gained significant momentum in the industry this year. It is truly exciting to see it being adopted by major server vendors and cloud service providers. With its high core count, large memory capacity and memory bandwidth, and vast I/O density, AMD EPYC is helping customers meet their performance needs without breaking the bank. By offering a choice in x86 architecture, AMD EPYC provides the flexibility, performance and security for the evolving needs of modern data center applications translating directly to more performance per dollar.

Partnerships are critical to bringing the potential of EPYC to anyone who wants to leverage its unique blend of performance and features. Big Data Analytics (BDA) are now commonly used on-premise, in the cloud, and in hybrid environments. An integral part of BDA is the Hadoop ecosystem.  At AMD, we’ve been working diligently to expand our software ecosystem partnerships with the industry leaders in this space: Cloudera, Hortonworks, MapR and Transwarp. Today, we are focusing on partnerships and reference designs, both single-socket and dual-socket, with these partners providing the flexibility, performance and scalability needed to meet the requirements of modern data processing.

The “no compromise” single-socket design ensures you are only paying for the processing power the application needs. Single-socket servers support all of the I/O and memory bandwidth available to a dual-socket server without the extra cost. The versatile dual-socket design offers the highest available AMD EPYC core density and memory capacity, enabling our highest performance. Comprehensive offers based on these reference designs will soon be available from our server partners.

The advent of big data has revolutionized analytics and data science by allowing enterprises to store, access and analyze massive amounts of data of almost any type from any source. The AMD EPYC processor family has arrived at the perfect time as the underlying hardware solution to provide the perfect mix of flexibility and scalability of resources. I look forward to continuing to work with our ecosystem partners to bring the AMD EPYC processors to their customers.

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There might not be a better example of a synergistic technology relationship than AMD and the Linux community. Back when AMD was the first to make the transition to a 64-bit instruction set architecture (ISA), Linux support was immediate and broad. The now widely known AMD64 architecture would not have taken off as quickly and as successfully if not for the groundswell of support from the Linux community.

 

When AMD delivered the truly innovative EPYC processor last year, the call went out yet again to the Linux community and they responded in kind. These high-performance CPUs have tremendous potential to reshape the landscape of the datacenter and the enterprise, as much or more than the AMD64 architecture. Setting aside the obvious need for choice in CPU suppliers and operating systems, AMD went the extra mile and delivered to Linux supporters something truly unique and perfectly suited for the modern datacenter. AMD built a specific set of security features directly into EPYC processors, and these features are now supported in Linux. Specifically designed to encrypt data in a virtualized environment, these features address a critical need for any company working with sensitive user data and/or considering moving their infrastructure to the cloud.

 

Secure Memory Encryption (SME) implements a simple and efficient method for main memory encryption that is flexible, integrated in the CPU architecture and does not require any modifications to the application software. By encrypting DRAM and non-volatile memory technologies, SME helps protect against physical access attacks like cold boot or platform reset, or even hardware probing.  SME can encrypt all memory when enabled directly in BIOS or can provide page-level control when enabled in the OS (Linux 4.14).

 

Secure Encrypted Virtualization (SEV) integrates main memory encryption capabilities with the existing AMD-V virtualization architecture to support encrypted virtual machines. Encrypting virtual machines helps protect them from physical threats, other virtual machines and even the hypervisor itself.  SEV guest support is in Linux 4.15 and hypervisor support in 4.16.

AMD is committed to working with our Linux community partners to deliver innovative solutions that meet the needs of modern datacenters. The AMD Software Ecosystem and Alliances team has regular technical reviews with the Linux distribution providers to align our hardware roadmaps to their releases. As a result, support for SME is now available in Red Hat 7.5; SEV guest is available in Ubuntu 18.04. Watch this space closely as SEV host capable operating systems are expected to become available later this year.

 

Details of the EPYC line of processors and the highly differentiated value proposition they deliver have been well documented in our blogs, including earlier this month when AMD demonstrated the new Dell PowerEdge systems at Dell Technologies World.

 

For a more complete picture of the integrated security features built into AMD EPYC processors, including SME and SEV, please download the Pathfinder Research whitepaper.