What to Ask When Considering High Performance Computing

Leverage these guidelines and resources for HPC success. [AMD Logo]( [View Online]( [What to Ask When Considering High Performance Computing] 5 Key Things to Consider When Building Your HPC System From manufacturing to healthcare, high performance computing (HPC) solves the world's most complex challenges. Read this eBook to learn more about the five key areas you should consider when looking at HPC for your organization. [READ eBOOK]( AMD EPYC™ Processors and AMD Instinct™ Accelerators For HPC AMD EPYC™ processors offer the flexibility and performance that HPC workloads demand, from high frequencies to dense core counts to large caches. Give your system a significant leap in performance by combining AMD EPYC™ CPUs with AMD Instinct™ MI200 accelerators, the world's fastest HPC and AI GPUs.¹ AMD EPYC™ Processors for HPC [LEARN MORE]( AMD Instinct™ Accelerators for HPC [LEARN MORE]( Follow Us [Facebook]( [Twitter]( [Instagram]( [Linkedin]( [Youtube]( [Twitch TV]( 1. World’s fastest data center GPU is the AMD Instinct™ MI250X. Calculations conducted by AMD Performance Labs as of Sep 15, 2021, for the AMD Instinct™ MI250X (128GB HBM2e OAM module) accelerator at 1,700 MHz peak boost engine clock resulted in 95.7 TFLOPS peak theoretical double precision (FP64 Matrix), 47.9 TFLOPS peak theoretical double precision (FP64), 95.7 TFLOPS peak theoretical single precision matrix (FP32 Matrix), 47.9 TFLOPS peak theoretical single precision (FP32), 383.0 TFLOPS peak theoretical half precision (FP16), and 383.0 TFLOPS peak theoretical Bfloat16 format precision (BF16) floating-point performance. Calculations conducted by AMD Performance Labs as of Sep 18, 2020 for the AMD Instinct™ MI100 (32GB HBM2 PCIe® card) accelerator at 1,502 MHz peak boost engine clock resulted in 11.54 TFLOPS peak theoretical double precision (FP64), 46.1 TFLOPS peak theoretical single precision matrix (FP32), 23.1 TFLOPS peak theoretical single precision (FP32), 184.6 TFLOPS peak theoretical half precision (FP16) floating-point performance. Published results on the NVidia Ampere A100 (80GB) GPU accelerator, boost engine clock of 1410 MHz, resulted in 19.5 TFLOPS peak double precision tensor cores (FP64 Tensor Core), 9.7 TFLOPS peak double precision (FP64). 19.5 TFLOPS peak single precision (FP32), 78 TFLOPS peak half precision (FP16), 312 TFLOPS peak half precision (FP16 Tensor Flow), 39 TFLOPS peak Bfloat 16 (BF16), 312 TFLOPS peak Bfloat16 format precision (BF16 Tensor Flow), theoretical floating-point performance. The TF32 data format is not IEEE compliant and not included in this comparison. [www.nvidia.com/content/dam/en-zz/Solutions/Data-Center/nvidia-ampere-architecture-whitepaper.pdf]( page 15, Table 1. MI200-01 © 2022 Advanced Micro Devices, Inc. All rights reserved. AMD, the AMD Arrow logo, Ryzen, Threadripper, EPYC, Radeon, and combinations thereof, are trademarks of Advanced Micro Devices, Inc. Other product names used in this publication are for identification purposes only and may be trademarks of their respective companies. Advanced Micro Devices, Inc., 2485 Augustine Drive, Santa Clara, CA 95054 USA [AMD Home]( | [Copyright 2022]( | [Privacy]( | [Cookie Policy]( | [Trademarks]( | [Contact Us]( This message is intended for {EMAIL}. This message was sent by AMD. You may at any time update your message [preferences]( or [unsubscribe]( from future mailings.