AMD Instinct™ Expands Ecosystem and Delivers Exascale-Class Technology for HPC and AI Applications

Supporting Resources

About AMD

For more than 50 years AMD has driven innovation in high-performance computing, graphics and visualization technologies. Billions of people, leading Fortune 500 businesses and cutting-edge scientific research institutions around the world rely on AMD technology daily to improve how they live, work and play. AMD employees are focused on building leadership high-performance and adaptive products that push the boundaries of what is possible. For more information about how AMD is enabling today and inspiring tomorrow, visit the AMD (NASDAQ: AMD)  websiteblog, LinkedIn and  Twitter pages.

©2022 Advanced Micro Devices, Inc. All rights reserved. AMD, the AMD Arrow logo, AMD CDNA, AMD Instinct, Radeon, ROCm and combinations thereof are trademarks of Advanced Micro Devices, Inc. PCIe is a registered trademark of PCI-SIG Corporation. Red Hat, Red Hat Enterprise Linux, and the Red Hat logo, are trademarks or registered trademarks of Red Hat, Inc. or its subsidiaries 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.

Linux is the registered trademark of Linus Torvalds in the U.S. and other countries.

___________________________
1 MI200-41 - Calculations conducted by AMD Performance Labs as of Jan 14, 2022, for the AMD Instinct™ MI210 (64GB HBM2e PCIe® card) accelerator at 1,700 MHz peak boost engine clock resulted in 45.3 TFLOPS peak theoretical double precision (FP64 Matrix), 22.6 TFLOPS peak theoretical double precision (FP64), and 181.0 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), and 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) and 39 TFLOPS peak Bfloat16 format precision (BF16), theoretical floating-point performance. The TF32 data format is not IEEE compliant and not included in this comparison.
https://www.nvidia.com/content/dam/en-zz/Solutions/Data-Center/nvidia-ampere-architecture-whitepaper.pdf, page 15, Table 1.

Contacts:
Aaron Grabein
AMD Communications
+1 512-602-8950
Email Contact

Laura Graves
AMD Investor Relations
+1 408-749-5467
Email Contact


Primary Logo



« Previous Page 1 | 2             
Featured Video
Editorial
More Editorial  
Jobs
Design Verification Engineer for Blockwork IT at Milpitas, California
CAD Engineer for Nvidia at Santa Clara, California
GPU Design Verification Engineer for AMD at Santa Clara, California
Sr. Silicon Design Engineer for AMD at Santa Clara, California
Senior Firmware Architect - Server Manageability for Nvidia at Santa Clara, California
Senior Platform Software Engineer, AI Server - GPU for Nvidia at Santa Clara, California
Upcoming Events
MEMS & Sensors Executive Congress (MSEC 2024) at Château-Bromont Hotel in Bromont Quebec Canada - Oct 7 - 9, 2024
PCB West 2024 at Santa Clara Convention Center Santa Clara CA - Oct 8 - 11, 2024
DVcon Europe 2024 at Holiday Inn Munich City Center, Munich Germany - Oct 15 - 16, 2024
International Test Conference (ITC) at United States - Nov 3 - 8, 2024



© 2024 Internet Business Systems, Inc.
670 Aberdeen Way, Milpitas, CA 95035
+1 (408) 882-6554 — Contact Us, or visit our other sites:
AECCafe - Architectural Design and Engineering TechJobsCafe - Technical Jobs and Resumes GISCafe - Geographical Information Services  MCADCafe - Mechanical Design and Engineering ShareCG - Share Computer Graphic (CG) Animation, 3D Art and 3D Models
  Privacy PolicyAdvertise