AMD EPYC + Radeon Instinct Platform Configuration

Total Page:16

File Type:pdf, Size:1020Kb

AMD EPYC + Radeon Instinct Platform Configuration Business Overview AMD Server and Workstation GPUs Enterprise Sales Team July 13, 2017 JULY 2017 | AMD CONFIDENTIAL 1 COMPUTE JULY 2017 | AMD CONFIDENTIAL 23 Machine Intelligence Compute Datacenter Infrastructure Today Homogenous Processors Network Infrastructure Open Source Software Open Interconnect Some installations of: Proprietary Accelerators Proprietary Accelerator Software Proprietary Accelerator Interconnect User JULY 2017 | AMD CONFIDENTIAL 25 Machine Intelligence Compute Datacenter Infrastructure Tomorrow Heterogeneous Processors Network Infrastructure Open Source Software Open Interconnect Open Accelerators User JULY 2017 | AMD CONFIDENTIAL 26 Radeon Instinct™ Cloud / Hyperscale Financial Services Energy Life Sciences Automotive Optimized Machine Learning / Deep Learning Frameworks and Applications ROCm Open Software Platform Radeon Instinct Hardware Platform Address market verticals that use a common infrastructure to leverage the investments and scale fast across multiple industries JULY 2017 | AMD CONFIDENTIAL 27 Radeon Instinct Differentiation FP16 and FP32 Performance Leadership ROCm Open Software Platform Flexible AMD EPYC + Radeon Instinct Platform Configuration Enhanced GPU-to-GPU Communication for Lower Latency Leading MxGPU Security & Determinism with Hardware SR-IOV JULY 2017 | AMD CONFIDENTIAL 28 Radeon Instinct Line Up for 2017 Radeon Instinct™ MI25 Radeon Instinct™ MI6 Radeon Instinct™ MI8 World’s Fastest Training Accelerator Versatile Accelerator Compact Inference Accelerator “Vega” GPU Architecture “Polaris” GPU Architecture “Fiji” GPU Architecture 16GB HBM2 16GB GDDR5 4GB HBM1 300W, Dual Slot 150W, Single Slot 175W, Dual Slot Training Inference JULY 2017 | AMD CONFIDENTIAL 29 See Endnote #1 SOFTWARE STACK User Optimized Applications Machine Learning Applications Caffe TensorFlow Torch 7 Frameworks Caffe2 MxNet CNTK AMD Optimized Middleware MIOpen BLAS,FFT,RNG NCCL C++ STL & Libraries HCC HIP OpenCL Python ROCm ROCm Platform ROCm = Radeon Open eCosystem HIP = Heterogeneous Compute Interface for Portability JULY 2017 | AMD CONFIDENTIAL 30 Radeon Vega Frontier Edition The World’s First Graphics Card Designed for AI Applications, Creative & Science Pioneers AVAILABLE NOW ! JULY 2017 | AMD CONFIDENTIAL 31 DeepBench "Which hardware provides the best performance on the basic operations used for training deep neural networks?" https://svail.github.io/DeepBench JULY 2017 | AMD CONFIDENTIAL 32 Measuring Performance 150 133 125 LOWER IS BETTER 100 88 75 50 25 0 NVIDIA P100 Radeon Vega Frontier Edition Time (ms) to Complete DeepBench See Endnotes JULY 2017 | AMD CONFIDENTIAL 33 Radeon Instinct with AMD EPYC™ Platform Direct Device Connect Optimized for VDI, ML & HPC Computing Lower System Cost Lower Latency Architecture Peer to Peer Communication High Density Footprint JULY 2017 | AMD CONFIDENTIAL 34 VIRTUALIZATION JULY 2017 | AMD CONFIDENTIAL 35 Our Vision HYBRID CLOUD PRIVATE PUBLIC ……AND MORE TO COME JULY 2017 | AMD CONFIDENTIAL 37 HOW VIRTUALIZED GRAPHICS WORK 1 2 16 VIRTUAL VIRTUAL VIRTUAL WORKSTATION WORKSTATION WORKSTATION RADEON PRO RADEON PRO UP TO 16 USERS RADEON PRO GRAPHICS DRIVER GRAPHICS DRIVER GRAPHICS DRIVER PER GPU JULY 2017 | AMD CONFIDENTIAL 38 HARDWARE VIRTUALIZATION DELIVERS… Predictability Performance Security Value Native AMD Drivers Workstation-class Graphics No Software-based No End User Licenses Deterministic Performance Up to 16 users per GPU Virtualization Overlay Low TCO JULY 2017 | AMD CONFIDENTIAL 39 VDI GPU Roadmap Current H2’2017 H1’2018 Dual 2x Tonga GPU S7150x2 16GB GDDR5, 265W New Products Single Tonga GPU S7150 8GB GDDR5, 150W Tonga MXM S7100X 8GB GDDR5, 100W JULY 2017 | AMD CONFIDENTIAL 40 Thank You JULY 2017 | AMD CONFIDENTIAL 42.
Recommended publications
  • GPU Developments 2018
    GPU Developments 2018 2018 GPU Developments 2018 © Copyright Jon Peddie Research 2019. All rights reserved. Reproduction in whole or in part is prohibited without written permission from Jon Peddie Research. This report is the property of Jon Peddie Research (JPR) and made available to a restricted number of clients only upon these terms and conditions. Agreement not to copy or disclose. This report and all future reports or other materials provided by JPR pursuant to this subscription (collectively, “Reports”) are protected by: (i) federal copyright, pursuant to the Copyright Act of 1976; and (ii) the nondisclosure provisions set forth immediately following. License, exclusive use, and agreement not to disclose. Reports are the trade secret property exclusively of JPR and are made available to a restricted number of clients, for their exclusive use and only upon the following terms and conditions. JPR grants site-wide license to read and utilize the information in the Reports, exclusively to the initial subscriber to the Reports, its subsidiaries, divisions, and employees (collectively, “Subscriber”). The Reports shall, at all times, be treated by Subscriber as proprietary and confidential documents, for internal use only. Subscriber agrees that it will not reproduce for or share any of the material in the Reports (“Material”) with any entity or individual other than Subscriber (“Shared Third Party”) (collectively, “Share” or “Sharing”), without the advance written permission of JPR. Subscriber shall be liable for any breach of this agreement and shall be subject to cancellation of its subscription to Reports. Without limiting this liability, Subscriber shall be liable for any damages suffered by JPR as a result of any Sharing of any Material, without advance written permission of JPR.
    [Show full text]
  • Penguin Computing Upgrades Corona with Latest AMD Radeon Instinct GPU Technology for Enhanced ML and AI Capabilities
    Penguin Computing Upgrades Corona with latest AMD Radeon Instinct GPU Technology for Enhanced ML and AI Capabilities November 18, 2019 Fremont, CA., November 18, 2019 -Penguin Computing, a leader in high-performance computing (HPC), artificial intelligence (AI), and enterprise data center solutions and services, today announced that Corona, an HPC cluster first delivered to Lawrence Livermore National Lab (LLNL) in late 2018, has been upgraded with the newest AMD Radeon Instinct™ MI60 accelerators, based on Vega which, per AMD, is the World’s 1st 7nm GPU architecture that brings PCIe® 4.0 support. This upgrade is the latest example of Penguin Computing and LLNL’s ongoing collaboration aimed at providing additional capabilities to the LLNL user community. As previously released, the cluster consists of 170 two-socket nodes with 24-core AMD EPYCTM 7401 processors and a PCIe 1.6 Terabyte (TB) nonvolatile (solid-state) memory device. Each Corona compute node is GPU-ready with half of those nodes today utilizing four AMD Radeon Instinct MI25 accelerators per node, delivering 4.2 petaFLOPS of FP32 peak performance. With the MI60 upgrade, the cluster increases its potential PFLOPS peak performance to 9.45 petaFLOPS of FP32 peak performance. This brings significantly greater performance and AI capabilities to the research communities. “The Penguin Computing DOE team continues our collaborative venture with our vendor partners AMD and Mellanox to ensure the Livermore Corona GPU enhancements expand the capabilities to continue their mission outreach within various machine learning communities,” said Ken Gudenrath, Director of Federal Systems at Penguin Computing. Corona is being made available to industry through LLNL’s High Performance Computing Innovation Center (HPCIC).
    [Show full text]
  • Macbook Pro (15-Inch, 2019) - Technical Specifications
    MacBook Pro (15-inch, 2019) - Technical Specifications Touch Bar Touch Bar with integrated Touch ID sensor Finish Silver Space Gray Display Retina display 15.4-inch (diagonal) LED-backlit display with IPS technology; 2880- by-1800 native resolution at 220 pixels per inch with support for millions of colors Supported scaled resolutions: 1920 by 1200 1680 by 1050 1280 by 800 1024 by 640 500 nits brightness Wide color (P3) True Tone technology Processor 2.6GHz 2.6GHz 6-core Intel Core i7, Turbo Boost up to 4.5GHz, with 12MB shared L3 cache Configurable to 2.4GHz 8-core Intel Core i9, Turbo Boost up to 5.0GHz, with 16MB shared L3 cache 2.3GHz 2.3GHz 8-core Intel Core i9, Turbo Boost up to 4.8GHz, with 16MB shared L3 cache Configurable to 2.4GHz 8-core Intel Core i9, Turbo Boost up to 5.0GHz, with 16MB shared L3 cache Storage MacBook Pro (15-inch, 2019) - Technical Specifications 256GB 256GB SSD Configurable to 512GB, 1TB, 2TB, or 4TB SSD 512GB 512GB SSD Configurable to 1TB, 2TB, or 4TB SSD Memory 16GB of 2400MHz DDR4 onboard memory Configurable to 32GB of memory Graphics 2.6GHz Radeon Pro 555X with 4GB of GDDR5 memory and automatic graphics switching Intel UHD Graphics 630 Configurable to Radeon Pro 560X with 4GB of GDDR5 memory 2.3GHz Radeon Pro 560X with 4GB of GDDR5 memory and automatic graphics switching Intel UHD Graphics 630 Configurable to Radeon Pro Vega 16 with 4GB of HBM2 memory or Radeon Pro Vega 20 with 4GB of HBM2 memory Charging and Expansion Four Thunderbolt 3 (USB-C) ports with support for: Charging DisplayPort Thunderbolt
    [Show full text]
  • Apple Products and Pricing List
    Follow us on Facebook and Twitter!! www.illutechstore.com www.facebook.com/LLUcomputerstore (909) 558-4129 www.twitter/iLLUTechStore MacBook Pro 13” 1.4GHz Intel i5 quad-core 8th-gen Processor, iMac Touch Bar & ID, 8GB 2133MHz Memory, Intel MacBook Air Iris Plus Graphics 640, 128GB SSD Storage 21.5” 2.3GHz i5 dual–core Processor, MUHN2LL/A or MUHQ2LL/A Education $1199 8GB 2133MHz Memory, 1TB Hard Drive, Intel Iris Plus Graphics 640 13” 1.6GHz i5 dual-core , (New Model) 1.4GHz Intel i5 quad-core 8th-gen Processor, MMQA2LL/A Education $1049 8GB 2133MHz Memory, 128GB SSD Storage, Touch Bar and ID, 8GB 2133MHz Memory, Intel UHD 617 Graphics Intel Iris Plus Graphics 640, 256GB SSD Stor- 21.5” 3.6GHz quad–core Intel core i3, MVFK2LL/A / MVFM2LL/A age Retina 4K Display, (New Model) MVFHLL/A Education $999 MUHP2LL/A or MUHR2LL/A Education $1399 8GB 2666MHz DDR4 Memory, 1TB Hard Drive, Radeon Pro 555X with 2GB Memory 13” 1.6GHz i5 dual-core , (New Model) 2.4GHz quad-core 8th-generation Intel core i5 MRT32LL/A Education $1249 8GB 2133MHz Memory, 256GB SSD Storage, Processor, Touch Bar and Touch ID, Intel UHD 617 Graphics 8GB 2133MHz LPDDR3 Memory, Intel Iris Plus 21.5” 3.0GHz 6-core Intel Core i5 Turbo MVFL2LL/A / MVFN2LL/A Graphics 655, 256GB SSD Storage MVFJ2LL/A Education $1199 MV962LL/A or MV992LL/A Education $1699 Boost up to 4.1GHz, (New Model) Retina 4K Display, 2.4GHz quad-core 8th-generation Intel core i5 8GB 2666MHz Memory, 1TB Fusion Drive, Processor, Touch Bar & ID, Radeon Pro 560X with 4GB Memory 8GB 2133MHz LPDDR3 Memory, Intel Iris
    [Show full text]
  • Survey and Benchmarking of Machine Learning Accelerators
    1 Survey and Benchmarking of Machine Learning Accelerators Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, and Jeremy Kepner MIT Lincoln Laboratory Supercomputing Center Lexington, MA, USA freuther,pmichaleas,michael.jones,vijayg,sid,[email protected] Abstract—Advances in multicore processors and accelerators components play a major role in the success or failure of an have opened the flood gates to greater exploration and application AI system. of machine learning techniques to a variety of applications. These advances, along with breakdowns of several trends including Moore’s Law, have prompted an explosion of processors and accelerators that promise even greater computational and ma- chine learning capabilities. These processors and accelerators are coming in many forms, from CPUs and GPUs to ASICs, FPGAs, and dataflow accelerators. This paper surveys the current state of these processors and accelerators that have been publicly announced with performance and power consumption numbers. The performance and power values are plotted on a scatter graph and a number of dimensions and observations from the trends on this plot are discussed and analyzed. For instance, there are interesting trends in the plot regarding power consumption, numerical precision, and inference versus training. We then select and benchmark two commercially- available low size, weight, and power (SWaP) accelerators as these processors are the most interesting for embedded and Fig. 1. Canonical AI architecture consists of sensors, data conditioning, mobile machine learning inference applications that are most algorithms, modern computing, robust AI, human-machine teaming, and users (missions). Each step is critical in developing end-to-end AI applications and applicable to the DoD and other SWaP constrained users.
    [Show full text]
  • Videocard Benchmarks
    Software Hardware Benchmarks Services Store Support About Us Forums 0 CPU Benchmarks Video Card Benchmarks Hard Drive Benchmarks RAM PC Systems Android iOS / iPhone Videocard Benchmarks Over 1,000,000 Video Cards Benchmarked Video Card List Below is an alphabetical list of all Video Card types that appear in the charts. Clicking on a specific Video Card will take you to the chart it appears in and will highlight it for you. Find Videocard VIDEO CARD Single Video Card Passmark G3D Rank Videocard Value Price Videocard Name Mark (lower is better) (higher is better) (USD) High End (higher is better) 3DP Edition 826 822 NA NA High Mid Range Low Mid Range 9xx Soldiers sans frontiers Sigma 2 21 1926 NA NA Low End 15FF 8229 114 NA NA 64MB DDR GeForce3 Ti 200 5 2004 NA NA Best Value Common 64MB GeForce2 MX with TV Out 2 2103 NA NA Market Share (30 Days) 128 DDR Radeon 9700 TX w/TV-Out 44 1825 NA NA 128 DDR Radeon 9800 Pro 62 1768 NA NA 0 Compare 128MB DDR Radeon 9800 Pro 66 1757 NA NA 128MB RADEON X600 SE 49 1809 NA NA Video Card Mega List 256MB DDR Radeon 9800 XT 37 1853 NA NA Search Model 256MB RADEON X600 67 1751 NA NA GPU Compute 7900 MOD - Radeon HD 6520G 610 1040 NA NA Video Card Chart 7900 MOD - Radeon HD 6550D 892 775 NA NA A6 Micro-6500T Quad-Core APU with RadeonR4 220 1421 NA NA A10-8700P 513 1150 NA NA ABIT Siluro T400 3 2059 NA NA ALL-IN-WONDER 9000 4 2024 NA NA ALL-IN-WONDER 9800 23 1918 NA NA ALL-IN-WONDER RADEON 8500DV 5 2009 NA NA ALL-IN-WONDER X800 GT 84 1686 NA NA All-in-Wonder X1800XL 30 1889 NA NA All-in-Wonder X1900 127 1552
    [Show full text]
  • AI Chips: What They Are and Why They Matter
    APRIL 2020 AI Chips: What They Are and Why They Matter An AI Chips Reference AUTHORS Saif M. Khan Alexander Mann Table of Contents Introduction and Summary 3 The Laws of Chip Innovation 7 Transistor Shrinkage: Moore’s Law 7 Efficiency and Speed Improvements 8 Increasing Transistor Density Unlocks Improved Designs for Efficiency and Speed 9 Transistor Design is Reaching Fundamental Size Limits 10 The Slowing of Moore’s Law and the Decline of General-Purpose Chips 10 The Economies of Scale of General-Purpose Chips 10 Costs are Increasing Faster than the Semiconductor Market 11 The Semiconductor Industry’s Growth Rate is Unlikely to Increase 14 Chip Improvements as Moore’s Law Slows 15 Transistor Improvements Continue, but are Slowing 16 Improved Transistor Density Enables Specialization 18 The AI Chip Zoo 19 AI Chip Types 20 AI Chip Benchmarks 22 The Value of State-of-the-Art AI Chips 23 The Efficiency of State-of-the-Art AI Chips Translates into Cost-Effectiveness 23 Compute-Intensive AI Algorithms are Bottlenecked by Chip Costs and Speed 26 U.S. and Chinese AI Chips and Implications for National Competitiveness 27 Appendix A: Basics of Semiconductors and Chips 31 Appendix B: How AI Chips Work 33 Parallel Computing 33 Low-Precision Computing 34 Memory Optimization 35 Domain-Specific Languages 36 Appendix C: AI Chip Benchmarking Studies 37 Appendix D: Chip Economics Model 39 Chip Transistor Density, Design Costs, and Energy Costs 40 Foundry, Assembly, Test and Packaging Costs 41 Acknowledgments 44 Center for Security and Emerging Technology | 2 Introduction and Summary Artificial intelligence will play an important role in national and international security in the years to come.
    [Show full text]
  • Key Features the WORLD's FIRST GPU to BREAK the TERABYTE
    A Leap Forward in GPU Design THE WORLD’S FIRST GPU TO BREAK THE TERABYTE MEMORY BARRIER Modern GPUs are continually evolving to keep pace with the growing demands of users. Methods and algorithms such as ray tracing for high-end rendering and non-linear video editing place high demands on the GPU’s graphics compute capabilities. Key Features These demands extend to the system level when applications Stream Processors: 4096 require large data sets to be used. Peak Engine Clock: 1500 MHz The Radeon™ Pro SSG based on the “Vega” GPU architecture, Memory Clock: 945 MHz is a disruptive force in the professional graphics space, bringing Peak Single Precision Computer: Up to 12.3 TFLOPS with it cutting-edge technologies like the High Bandwidth Cache Controller (HBCC), a state-of-the-art memory system that Peak Triangles/s: 6 BT/s removes the limitations of traditional graphics memory. Memory Size: 2TB SSG + 16GB HBC with Error Correcting The Ultimate GPU for 8K Content Creation Code (ECC) Memory1 The Radeon™ Pro SSG comes equipped with 2TB of onboard Memory Interface: 2048 bit memory, the most memory on a graphics card ever. Max. Memory Bandwidth: 483.84 GB/s This revolutionary advancement in graphics technology enables Native Display Outputs: 6 DisplayPortTM 1.4 vastly higher performance for the most demanding use-case HDR Ready2 scenarios. Easily make real-time material and complex lighting changes of rendered objects and scenes and generate near 10-bit Color Support real-time photorealistic walkthroughs of rendered visualizations. 8K Display Support (Single monitor, single or dual-cable) Create high-fidelity real-time VFX pre-visualizations to help inform and make decisions on-the-fly.
    [Show full text]
  • Ati Mobility Radeon Hd 4270 Driver Download Ati Mobility Radeon Hd 4270 Driver Download
    ati mobility radeon hd 4270 driver download Ati mobility radeon hd 4270 driver download. Completing the CAPTCHA proves you are a human and gives you temporary access to the web property. What can I do to prevent this in the future? If you are on a personal connection, like at home, you can run an anti-virus scan on your device to make sure it is not infected with malware. If you are at an office or shared network, you can ask the network administrator to run a scan across the network looking for misconfigured or infected devices. Another way to prevent getting this page in the future is to use Privacy Pass. You may need to download version 2.0 now from the Chrome Web Store. Cloudflare Ray ID: 67a626bb48a384e0 • Your IP : 188.246.226.140 • Performance & security by Cloudflare. DRIVER ATI MOBILITY RADEON HD 4270 FOR WINDOWS DOWNLOAD. Mine defaults to 1600x900 resolution sharp and hers defaults to 1024x768 and looks fuzzy. The radeon hd 3450, so that is an. The amd ati radeon hd 4270 sometimes also ati mobility radeon hd 4270 called is an onboard shared memory graphics chip in the rs880m chipset. Based on 58,285 user benchmarks for the amd rx 460 and the ati radeon hd 4200, we rank them both on effective speed and value for money against the best 636 gpus. Hd 2400, as set by 1239 users. Free drivers for ati mobility radeon hd 4270. Ati radeon hd 3000/ati mobility radeon hd 4270. Mobility radeon hd 4270 treiber sind winzige programme, without notice.
    [Show full text]
  • GPU Developments 2017T
    GPU Developments 2017 2018 GPU Developments 2017t © Copyright Jon Peddie Research 2018. All rights reserved. Reproduction in whole or in part is prohibited without written permission from Jon Peddie Research. This report is the property of Jon Peddie Research (JPR) and made available to a restricted number of clients only upon these terms and conditions. Agreement not to copy or disclose. This report and all future reports or other materials provided by JPR pursuant to this subscription (collectively, “Reports”) are protected by: (i) federal copyright, pursuant to the Copyright Act of 1976; and (ii) the nondisclosure provisions set forth immediately following. License, exclusive use, and agreement not to disclose. Reports are the trade secret property exclusively of JPR and are made available to a restricted number of clients, for their exclusive use and only upon the following terms and conditions. JPR grants site-wide license to read and utilize the information in the Reports, exclusively to the initial subscriber to the Reports, its subsidiaries, divisions, and employees (collectively, “Subscriber”). The Reports shall, at all times, be treated by Subscriber as proprietary and confidential documents, for internal use only. Subscriber agrees that it will not reproduce for or share any of the material in the Reports (“Material”) with any entity or individual other than Subscriber (“Shared Third Party”) (collectively, “Share” or “Sharing”), without the advance written permission of JPR. Subscriber shall be liable for any breach of this agreement and shall be subject to cancellation of its subscription to Reports. Without limiting this liability, Subscriber shall be liable for any damages suffered by JPR as a result of any Sharing of any Material, without advance written permission of JPR.
    [Show full text]
  • Shared Pass-Through Graphics Guide
    Shared Pass-Through Graphics Guide Shared Pass-Through Graphics Guide Last Updated: October 3, 2021 For more information go to vmware.com. What's New Changes made in the last 7 days include: None Introduction For Shared Pass-Through Graphics compatibility, please refer to the partner support page to ensure your VMware certified server (Refer to VMware Server VCG) is compatible with your VMware certified graphics card for Virtual Graphics Processing Unit. Please also ensure you have the appropriate support agreement for your product. PartnerName Component Name Firmware Version Supported Releases AMD (Advanced Micro AMD FirePro S7100X N/A ESXi 6.5 U3,ESXi 6.5 U2,ESXi 6.5 U1,ESXi 6.5,ESXi Devices, Inc.) 6.0 U3,ESXi 6.0 U2,ESXi 6.0 U1,ESXi 6.0 AMD (Advanced Micro AMD FirePro S7150 N/A ESXi 6.5 U3,ESXi 6.5 U2,ESXi 6.5 U1,ESXi 6.5,ESXi Devices, Inc.) 6.0 U3,ESXi 6.0 U2,ESXi 6.0 U1,ESXi 6.0 AMD (Advanced Micro AMD FirePro S7150X2 N/A ESXi 6.5 U3,ESXi 6.5 U2,ESXi 6.5 U1,ESXi 6.5,ESXi Devices, Inc.) 6.0 U3,ESXi 6.0 U2,ESXi 6.0 U1,ESXi 6.0 AMD (Advanced Micro Radeon Pro V340 N/A ESXi 6.5 U3,ESXi 6.5 U2,ESXi 6.5 U1,ESXi 6.5 Devices, Inc.) NVIDIA GRID K1 N/A ESXi 6.5 U3,ESXi 6.5 U2,ESXi 6.5 U1,ESXi 6.5,ESXi 6.0 U3,ESXi 6.0 U2,ESXi 6.0 U1,ESXi 6.0 NVIDIA GRID K2 N/A ESXi 6.5 U3,ESXi 6.5 U2,ESXi 6.5 U1,ESXi 6.5,ESXi 6.0 U3,ESXi 6.0 U2,ESXi 6.0 U1,ESXi 6.0 NVIDIA NVIDIA A10 N/A ESXi 7.0 U2 NVIDIA NVIDIA A100 40GB PCIe N/A ESXi 7.0 U2 NVIDIA NVIDIA A40 N/A ESXi 7.0 U2 NVIDIA NVIDIA QUADRO RTX 6000 N/A ESXi 7.0 U2,ESXi 7.0 U1,ESXi 7.0,ESXi 6.7 U3,ESXi 6.7 U2,ESXi 6.7 U1,ESXi 6.7,ESXi 6.5 U3,ESXi 6.5 U2,ESXi 6.5 U1,ESXi 6.5 Copyright © 2010-2017 VMware, Inc.
    [Show full text]
  • AMD Firepro Accelerators for HPE Proliant Servers Overview
    QuickSpecs AMD FirePro Accelerators for HPE ProLiant Servers Overview AMD Accelerators for HPE ProLiant Servers Hewlett Packard Enterprise supports, on select HPE ProLiant servers, computational accelerator modules based on AMD® FirePro™ Graphical Processing Unit (GPU) technology. The following AMD accelerators are available from HPE. • HPE AMD FirePro S9150 Accelerator Kit • HPE AMD FirePro S7150x2 Accelerator Kit • HPE AMD Radeon Pro WX2100 Graphics Accelerator • HPE AMD Radeon Instinct MI25 Graphics Accelerator • HPE AMD Radeon Pro WX7100 Accelerator Based on AMD’s Graphics Core Next (GCN) technology, the AMD FirePro GPUs enable seamless integration of accelerated computing and digital rendering with HPE ProLiant servers for high-performance computing and large data center, scale-out deployments. The AMD GPUs support AMD STREAM technology, a set of GPU hardware and software features designed specifically to address high-performance workloads and workflows, including application requirements for high single and double floating point performance, ECC Memory support for increased computational accuracy, bi-directional low latency data transfers, and more. AMD cards are optimized for OpenCL™, an open and cross-platform programming standard used for general-purpose computations. When combined with the AMD APP Acceleration Software Development Kit and AMD supported development tools such as compilers and libraries, developers and customers can take full advantage of AMD for GPU compute. The AMD cards also support OpenGL and other rendering applications for full graphics processing of complex 3D models. The AMD accelerators provide all of the standard benefits of GPU computing while enabling maximum reliability and tight integration with system monitoring and management tools such as HPE Insight Cluster Management Utility.
    [Show full text]