Skip navigation

As we approach the end of the year we have tremendous momentum and excitement building for AMD EPYC™ processors. Two weeks ago we were proud to have numerous partners with us at SC17 introducing EPYC to the HPC community. This week at HPE Discover, our teams will be showing off the latest EPYC-based system, the ProLiant DL385 Gen10 server.


DL385_Gen10_Snap_1_Images_v00_00001 (2).png

With the new DL385, we’re once again partnering with HPE to bring AMD to the best-selling server in the industry, and this latest version is breaking records. An AMD EPYC model 7601-based HPE DL385 Gen10 system scored 257 on SPECrate®2017_fp_base and a 1980 on SPECfp®_rate2006, both of which are higher than any other two socket system score published by SPEC®. We’re extremely proud of this performance, which is a testament to our floating point implementation in Zen and HPE’s platform leadership. This week at HPE Discover, we are also showing how we are changing the economics of virtualization with EPYC in the heart of the server market, delivering up to 50% lower cost per VM.



EPYC is substantially lowering the total cost of ownership for the datacenter and giving customers a real choice for the first time in nearly a decade. Clearly this has many in the industry very excited. Even our competitor is taking notice.


A lot of our competitor’s angst around EPYC vs Xeon has been at the top of the performance envelope, which of course is very relevant for certain types of high-performance applications, but not critical for the vast majority of the server market today. Our teams have taken the great Zen core and built a highly differentiated part with unique memory, I/O, and security capabilities. Put it together and we have performance leadership for the workloads we’ve targeted. But beyond those workloads, in the middle of the performance stack, where most of the server business sits, EPYC has incredible performance advantages over Xeon Skylake scalable processors for the majority of applications.


Serve The Home recently showed some very compelling data focused at the heart of the server market. When testing our 16 core EPYC 7301 family, the data shows that in the highest volume portions of the market EPYC delivers more cores, more memory bandwidth and a significant performance advantage over the Xeon Silver product line across multiple benchmarks.


Our partners appreciate the choice and differentiation that EPYC provides to their solutions. In addition to the HPE, Sugon, Supermicro and other solutions we’ve already announced, we’re working with Dell and many other OEM/ODMs to bring their first EPYC-based platforms to market. Three of the Super 7 mega datacenter providers have publicly announced plans to deploy EPYC-based products, including Baidu, Microsoft Azure and Tencent, and we have strong engagements with other major cloud providers.


I’m extremely proud of the AMD team and the EPYC products they have created. With EPYC we are restoring choice and innovation to the server market. Stay tuned, because this is just the beginning of an exciting time for EPYC and new era of choice for the datacenter market. We’ll have more big news to share soon.


Forrest Norrod is Senior Vice President and General Manager of the Enterprise, Embedded and Semi-Custom Business Group 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.

Every year it’s inspiring to see an eclectic group of students, scientists, researchers and technological innovators from the high performance computing (HPC) community come together at SuperComputing 2017 (SC17). It’s the one place where some of the brightest minds in computing can share ideas and map out of the future of cutting edge technologies.


At the heart of all the work and collaboration accomplished this week is a foundation set in mathematics and the ability of computers to handle a mind-boggling number of computations and an incredible amount of data. Modeling, simulation, and data analysis now underpin everything from protein folding and gene research to high particle physics and cosmology.  


When you think about math in the context of the datacenter and with high performance CPUs, more often than not you’re really talking about how you leverage the utility of floating point.


Uncovering the Utility of Floating Point


Earlier this year, we released our new family of high-performance server and datacenter processors, the AMD EPYC™ 7000 series. The EPYC processor is a highly-scalable CPU that includes a very powerful and capable floating point unit (FPU). The philosophy of the EPYC FPU is to deliver the most easily usable performance. Its unique co-processor architecture enables a high floating point instruction issue rate, great memory bandwidth, with energy efficiency to maintain a high frequency even when loaded. We support all the floating point instructions used by today’s systems, up through AVX2. Running existing codes or even the latest floating point benchmarks, the numbers speak for themselves: EPYC delivers incredible FP performance.


We define utility as usefulness over costs. It’s an idea that underpins computing technology, businesses and overall strategies. We’re working to provide and apply the technologies that let the HPC community do more with much less. When you do the math, we’re delivering an EPYC processer that runs at up to 3X* the performance per dollar than the competition. Whether you’re thinking about the immediate or long-term implications, it’s the utility that makes all the difference. And when you couple the EPYC CPU with the utility of the Radeon™ GPU, you can extend that even further.


Unlocking the Power of AMD at SC17: EPYC + RADEON INSTINCT


Although floating point is key to how we approach the next generation of CPUs, for massively vectorized workloads there is an even better choice: the power of today’s GPUs which far exceed any CPU on highly parallel applications. AMD offers leading compute-GPUs in our Radeon Instinct™ line. You can now pair the best of AMD in high-performance CPU and GPU with EPYC and Radeon Instinct to create a heterogeneous supercomputing solution that tackles real-world applications that floating point thrives in – from fluid dynamics and weather mapping to oil and gas exploration and more.


At SC17, we’re bringing the power of a combined EPYC and Radeon Instinct platform to the show floor with Project 47 (P47). Inventec’s P47 platform provides direct access to four Radeon Instinct GPUs through a single EPYC processor without the need for PCI switches, which removes design barriers and streamlines performance. The AMD-based platform then flexes its
scalability by contributing to 20 1P EPYC processor-based Inventec servers to produce a petaFLOPS of single-precision computing. By supporting both heterogeneous supercomputing systems and memory-bound CPU platforms, EPYC addresses several real-world applications to support safer, more productive operations.


Focusing on Math for the Masses


I found my inspiration in science and electronics early on as a student, and there’s a group of university students joining SC17 to compete in the Student Cluster Competition that we’re thrilled to help find their individual sparks.


AMD, along with Supermicro and Mellanox, is supporting a student team from Northeastern University. Using a system developed around EPYC and Radeon Instinct, the team will square off against international competitors to run a mix of known and unknown HPC codes around the clock over a couple days to test their high-performance skills.


The lessons learned from that competition will be invaluable. With any luck, the next-generation of visionaries will find their moment of math inspiration and use the high-performance technologies of today to define a more promising tomorrow.


*Based on SPECfp®_rate2006 scores published on as of October 25, 2017.  2 x EPYC 7601 CPU ($4,200 per processor at AMD 1ku pricing) in Sugon A620-G30, Ubuntu 17.04, x86 Open64 v4.5.2.1 Compiler Suite, 512 GB PC4-2666V-R memory, running at 2400  1 x 1TB SATA 7200RPM has a peak score of 1850 (base score 1670); versus 2P Xeon Platinum 8180M ($13,011 per processor per Cisco UCS C240 M5 system with SUSE Linux Enterprise Server 12 SP2, ICC, 384GB PC4-2666V-R memory, 1x240GB SATA SSD score of 1830 (base score 1800). SPEC and SPECfp are registered trademarks of the Standard Performance Evaluation Corporation. See for more information. NAP-49