Take Charge of Change with Your Business
Change is constant – but with AI powered by AMD and Microsoft Azure, it’s an opportunity. By providing solutions that scale seamlessly, adapt flexibly, and power performance breakthroughs, we’re helping propel businesses forward. Together, we can take charge of change.
together we advance_data centers
As the high performance computing leader2,3, AMD delivers technologies to accelerate a full range of data center workloads that enable scientists, engineers, and designers to have faster insights and more accurate results.
together we advance_AI
AI is increasingly pervasive across the modern world. It's driving our smart technology in retail, cities, factories and healthcare, and transforming our digital homes. AMD offers advanced AI acceleration from data center and edge, enabling high performance and high efficiency to make the world smarter.
together we advance_cloud computing
Privacy & Progress - Google Cloud. Confidential Computing, powered by AMD. World class security to advance business without sacrificing performance.
together we advance_performance
Witness the incredible speeds achieved when The Mercedes-AMG PETRONAS Formula One™ Team and AMD come together to advance F1 racing—and explore how AMD EPYC™ Processors help make some of the world's fastest cars go even faster.
together we advance_groundbreaking research
AMD processors powering supercomputers are helping to advance research from climate change, to sub-atomic structures, tackling the world’s toughest challenges. Discover how the LUMI Supercomputer is advancing this groundbreaking research.
together we advance_sustainable computing
When data centers are energy efficient, enterprise computing and scientific research can thrive. AMD is committed to environmental sustainability goals, reporting on our progress, and pushing the limits of high performance computing.
together we advance_automotive
The key to a safer commute is AI. Adaptive SoCs are powering advanced sensors and driver assistance systems (ADAS) on the road to autonomous driving—so people can get where they want to go, no driver necessary.
together we advance_aerospace
Perserverance is the most advanced machine to touch down on the Red Planet. AMD FPGAs power the rover's computer vision to detect samples as small as a grain of salt. Its powerful AI keeps learning and adapting that whole mission long - advancing discoveries on Mars to seek out signs that the planet once supported life.
together we advance_entertainment
The imagination of the entertainment world knows no limits. That’s why AMD pushes for faster rendering with the world’s most advanced processor1. From special effects to virtual production to 3D modeling, we are empowering film, TV, and game creators to realize their vision.
together we advance_gaming
Our passion to make the world’s most advanced processor, graphics and software is matched only by the passion of the gamers who use them. That's why AMD is the only processor used across PCs, consoles and handhelds.
Footnotes
- Based on node size as of February 2022. GD-203
- MLNX-032: World’s highest performance for technical computing comparison based on AMD internal testing as of 2/14/2022 measuring the score, rating or jobs/day for each of estimated SPECrate®2017_fp_base, Ansys Fluent, Altair Radioss and Ansys LS-Dyna application test case simulations average speedup on 2P servers running 32-core EPYC 7573X to 2P servers running 32-core Intel Xeon Platinum 8362 for per-core performance leadership and on 2P servers running top-of-stack 64-core EPYC 7773X to 2P servers running top-of-stack 40-core Intel Xeon Platinum 8380 for density performance leadership. “Technical Computing” or “Technical Computing Workloads” as defined by AMD can include: electronic design automation, computational fluid dynamics, finite element analysis, seismic tomography, weather forecasting, quantum mechanics, climate research, molecular modeling, or similar workloads. Results may vary based on factors including silicon version, hardware and software configuration and driver versions. SPEC®, SPECrate® and SPEC CPU® are registered trademarks of the Standard Performance Evaluation Corporation. See www.spec.org for more information.
- 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. https://www.nvidia.com/content/dam/en-zz/Solutions/Data-Center/nvidia-ampere-architecture-whitepaper.pdf, page 15, Table 1. MI200-01
- Includes AMD high performance CPU and GPU accelerators used for AI training and High-Performance Computing in a 4P hosted configuration. Goal calculations based on performance scores as measured by standard performance metrics (HPC: Linpack DGEMM kernel FLOPS with 4k matrix size. AI training: lower precision floating point math GEMM kernels such as FP16 or BF16 FLOPS operating on 4k matrices) divided by the rated power consumption of a representative accelerated compute node including the CPU host + memory and 4 GPU accelerators.
- AMD’s goal is a 50 percent reduction in absolute GHG emissions from AMD operations (scope 1 and 2 emissions) from 2020 to 2030.
- Based on node size as of February 2022. GD-203
- MLNX-032: World’s highest performance for technical computing comparison based on AMD internal testing as of 2/14/2022 measuring the score, rating or jobs/day for each of estimated SPECrate®2017_fp_base, Ansys Fluent, Altair Radioss and Ansys LS-Dyna application test case simulations average speedup on 2P servers running 32-core EPYC 7573X to 2P servers running 32-core Intel Xeon Platinum 8362 for per-core performance leadership and on 2P servers running top-of-stack 64-core EPYC 7773X to 2P servers running top-of-stack 40-core Intel Xeon Platinum 8380 for density performance leadership. “Technical Computing” or “Technical Computing Workloads” as defined by AMD can include: electronic design automation, computational fluid dynamics, finite element analysis, seismic tomography, weather forecasting, quantum mechanics, climate research, molecular modeling, or similar workloads. Results may vary based on factors including silicon version, hardware and software configuration and driver versions. SPEC®, SPECrate® and SPEC CPU® are registered trademarks of the Standard Performance Evaluation Corporation. See www.spec.org for more information.
- 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. https://www.nvidia.com/content/dam/en-zz/Solutions/Data-Center/nvidia-ampere-architecture-whitepaper.pdf, page 15, Table 1. MI200-01
- Includes AMD high performance CPU and GPU accelerators used for AI training and High-Performance Computing in a 4P hosted configuration. Goal calculations based on performance scores as measured by standard performance metrics (HPC: Linpack DGEMM kernel FLOPS with 4k matrix size. AI training: lower precision floating point math GEMM kernels such as FP16 or BF16 FLOPS operating on 4k matrices) divided by the rated power consumption of a representative accelerated compute node including the CPU host + memory and 4 GPU accelerators.
- AMD’s goal is a 50 percent reduction in absolute GHG emissions from AMD operations (scope 1 and 2 emissions) from 2020 to 2030.