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MI200-01 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 HBM2eOAM 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.
MI200-02 Calculations conducted by AMD Performance Labs as of Sep 15, 2021, for the AMD Instinct™ MI250X accelerator (128GB HBM2e OAM module) at 1,700 MHz peak boost engine clock
resulted in 95.7 TFLOPS peak double precision matrix (FP64 Matrix) theoretical, floating-point performance. Published results on the NVidia Ampere A100 (80GB) GPU accelerator resulted in 19.5
TFLOPS peak double precision (FP64 Tensor Core) theoretical, floating-point performance. Results found at https://www.nvidia.com/content/dam/en-zz/Solutions/Data-Center/nvidia-amperearchitecture-whitepaper.pdf, page 15, Table 1.
MI200-07 Calculations conducted by AMD Performance Labs as of Sep 21, 2021, for the AMD Instinct™ MI250X and MI250 (128GB HBM2e) OAM accelerators designed with AMD CDNA™ 2 6nm
FinFet process technology at 1,600 MHz peak memory clock resulted in 3.2768 TFLOPS peak theoretical memory bandwidth performance. MI250/MI250X memory bus interface is 4,096 bits times
2 die and memory data rate is 3.20 Gbps for total memory bandwidth of 3.2768 TB/s ((3.20 Gbps*(4,096 bits*2))/8). The highest published results on the NVidia Ampere A100 (80GB) SXM GPU
accelerator resulted in 2.039 TB/s GPU memory bandwidth performance. https://www.nvidia.com/content/dam/en-zz/Solutions/Data-Center/a100/pdf/nvidia-a100-datasheet-us-nvidia-1758950-r4web.pdf
MI200-15A Testing Conducted by AMD performance lab as of 10/7/2021, on a single socket Optimized 3rd Gen EPYC CPU powered server, with 4x AMD Instinct™ MI250X OAM (128 GB HBM2e)
560W GPUs with AMD Infinity Fabric™ technology, using LAMMPS ReaxFF/C, patch_2Jul2021 plus AMD optimizations to LAMMPS and Kokkos that are not yet available upstream resulted in amedian score of 4x MI250X = 19,482,180.48 ATOM-Time Steps/sVs.Dual AMD EPYC 7742@2.25GHz CPUs with 4x NVIDIA A100 SXM 80GB (400W) using LAMMPS classical molecular
dynamics package ReaxFF/C, patch_10Feb2021 resulted in a published score of 8,850,000 (8.85E+06) ATOM-Time Steps/s. https://developer.nvidia.com/hpc-application-performance
19,482,180.48/8,850,000=2.20x (220%) the/1.2x (120%) faster. Container details found at:https://ngc.nvidia.com/catalog/containers/hpc:lammps Information on LAMMPS:
https://www.lammps.org/index.html Server manufacturers may vary configurations, yielding different results. Performance may vary based on use of latest drivers and optimizations

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MI200-16A Testing Conducted by AMD performance lab as of 10/18/2021, on a single socket Optimized 3rd Gen AMD EPYC™ CPU powered server with 1x AMD Instinct™ MI250X OAM (128 GB
HBM2e) 560W GPU with AMD Infinity Fabric™ technology, using HACC, plus AMD optimizations to HACC that are not yet available upstream resulted in a median score of 1x MI250X = 4,400,000(4.40E+06) Particles/s Vs. Testing Conducted by AMD performance lab as of 10/18/2021, on Nvidia DGX dual socket AMD EPYC 7742@2.25GHz CPU server with 1x NVIDIA A100 SXM 80GB
(400W), using HACC resulted in a median score of 1x A100 = 2,290,000 (2.29E+06) Particles/s. Information on HACC: https://asc.llnl.gov/coral-2-benchmarks/gpu-versions-and-othersupplementary-material https://asc.llnl.gov/sites/asc/files/2020-09/coral-hacc-benchmark-summary-v1.7.pdf Server manufacturers may vary configurations, yielding different results. Performance
may vary based on use of latest drivers and optimization
MI200-17A Testing conducted by AMD performance lab as of 10/13/2021, on a single socket Optimized 3rd Gen AMD EPYC™ CPU server with 1x AMD Instinct™ MI250X OAM (128 GB HBM2e)
560W GPU with AMD Infinity Fabric™ technology, using LSMS, plus AMD optimizations to LSMS that are yet available upstream resulted in a median score of 1x MI250X = 3,950,000,000(3.95E+09) Atom Interactions/s Vs. Testing conducted by AMD performance lab as of 9/27/2021, on Nvidia DGX dual socket AMD EPYC 7742@2.25GHz CPU server with 1x NVIDIA A100 SXM
80GB (400W), using LSMS resulted in a median score of 2,440,000,000 (2.44E+09) Atom Interactions/s. Information on LSMS: https://github.com/mstsuite/lsms, Information on GFortran:
https://gcc.gnu.org/fortran/, Information on GCC Compiler: https://gcc.gnu.org/ Server manufacturers may vary configurations, yielding different results. Performance may vary based on use of latest
drivers and optimizations
MI200-19A Testing Conducted by AMD performance lab as of 10/1/2021, on a single socket Optimized 3rd Gen AMD EPYC™ CPU server with 4x AMD Instinct™ MI250X OAM (128 GB HBM2e)
560W GPUs with AMD Infinity Fabric™ technology running AMG (Set up) FOM, resulting in a median score of 4x MI250X = 16,773,660,000 FOM_Setup / Sec (Setup Phase Time) Vs. Testing
Conducted by AMD performance lab as of 10/1/2021, on Nvidia DGX dual socket AMD EPYC 7742@2.25GHz CPU server with 4x NVIDIA A100 SXM 80GB (400W) running AMG (Set up) FOM,
resulting in a median score of 4x A100 = 5,507,144,000 FOM_Setup / Sec (Setup Phase Time). Information on AMG_Setup: https://asc.llnl.gov/coral-2-benchmarks ,https://asc.llnl.gov/sites/asc/files/2020-09/AMG_Summary_v1_7.pdf , Server manufacturers may vary configurations, yielding different results. Performance may vary based on use of latest drivers
and optimizations
MI200-20A Testing Conducted by AMD performance lab as of 10/1/2021, on a single socket Optimized 3rd Gen AMD EPYC™ CPU server, with 4x AMD Instinct™ MI250X OAM (128 GB HBM2e)
560W GPUs with AMD Infinity Fabric™ technology using AMG (Solve) FOM resulting in a median score of 4x MI250X = 73,318,380,000 FOM_Solve / Sec (Solve Phase Time) Vs. Testing
Conducted by AMD performance lab as of 10/1/2021, on Nvidia DGX dual socket AMD EPYC 7742@2.25GHz CPU server with 4x NVIDIA A100 SXM 80GB (400W), using AMG (Solve) FOM
resulting in a median score of 4x A100 = 31,476,470,000 FOM_Solve / Sec (Solve Phase Time). Information on AMG_Solve: https://asc.llnl.gov/coral-2-benchmarks,
https://asc.llnl.gov/sites/asc/files/2020-09/AMG_Summary_v1_7.pdf Server manufacturers may vary configurations, yielding different results. Performance may vary based on use of latest drivers
and optimizations
MI200-21A Testing Conducted by AMD performance lab as of 9/22/2021, on a single socket Optimized 3rd Gen AMD EPYC™ CPU server with 1x AMD Instinct™ MI250X OAM (128 GB HBM2e)
560W GPU with AMD Infinity Fabric™ technology using Nvidia Nbody 32 CUDA sample version 11.2.152 converted to HIP plus AMD optimizations to Nbody 32 that are not yet available upstream
resulting in a median score of 2.3x MI250X = 31.72 Particles (Body-to-Body) Interactions/s Vs. Testing Conducted by AMD performance lab as of 9/22/2021, on Nvidia DGX dual socket AMD EPYC
7742@2.25GHz CPU server with 1x NVIDIA A100 SXM 80GB (400W) using Nbody 32 sample code version 11.2.152 resulting in a median score of 14.12 Particles (Body-to-Body) Interactions/s.
Information on Nbody 32: https://developer.download.nvidia.com/compute/DevZone/C/html_x64/Physically-Based_Simulation.html, https://github.com/AMD-HPC/nbody-nvidia. Server manufacturers
may vary configurations, yielding different results. Performance may vary based on use of latest drivers and optimizations

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MI200-22A Testing Conducted by AMD performance lab as of 9/22/2021, on a single socket Optimized 3rd Gen AMD EPYC™ CPU server with 1x AMD Instinct™ MI250 X OAM GPU (128GB
HBM2e) with AMD Infinity Fabric™ technology, using Nbody 64 CUDA Sample version 11.2.152 converted to HIP. Nvidia Nbody 64 samples code version 11.2.152, plus AMD optimizations to
Nbody 64 that are not yet available upstream resulted in a median score of 19.245 Particles (Body-to-Body) Interactions/s. Vs. Testing Conducted by AMD performance lab as of 9/22/2021, on
Nvidia DGX dual socket AMD EPYC 7742@2.25GHz CPU server with 1x NVIDIA A100 SXM 80GB (400W) using benchmark Nvidia Nbody 64 sample code version 11.2.152 resulting in a medianscore of 7.631 Particles (Body-to-Body) Interactions/s. Information on Nbody 64: https://developer.download.nvidia.com/compute/DevZone/C/html_x64/Physically-Based_Simulation.html,
https://github.com/AMD-HPC/nbody-nvidia. Server manufacturers may vary configurations, yielding different results. Performance may vary based on use of latest drivers and optimizations.
MI200-23A Testing Conducted by AMD performance lab as of 10/6/2021, on a single socket Optimized 3rd Gen AMD EPYC™ CPU server with 1x AMD Instinct™ MI250X OAM (128 GB HBM2e)
560W GPU with AMD Infinity Fabric™ technology using Quicksilver - LLNL-CODE-684037 converted to HIP, plus AMD optimizations to Quicksilver that are on AMD Github branch resulted in amedian score of 214,000,000 Segments/s Vs. Testing Conducted by AMD performance lab as of 9/22/2021, on Nvidia DGX dual socket AMD EPYC 7742@2.25GHz CPU server with 1x NVIDIA
A100 SXM 80GB (400W) using Quicksilver - LLNL-CODE-684037 run with CUDA code version 11.2.152 resulted in a median score of 85,500,000 Segments/s. Information on Quicksilver: AMD
branch based on LLNL version for this testing: https://github.com/moes1/Quicksilver/tree/AMD-HIP , LLNL version: https://github.com/LLNL/Quicksilver & Quicksilver info sheet:https://hpc.llnl.gov/sites/default/files/Quicksilver_CTS.pdf. Note: A proxy app for the Monte Carlo Transport Code, Mercury. LLNL-CODE-684037. Server manufacturers may vary configurations,yielding different results. Performance may vary based on use of latest drivers and optimizations
MI200-24A Testing Conducted by AMD performance lab as of 10/12/2021, on a single socket Optimized 3rd Gen AMD EPYC™ CPU server with 1x AMD Instinct™ MI250X OAM (128 GB HBM2e)
560W GPU with AMD Infinity Fabric™ technology using benchmark OpenMM_amoebagk v7.6.0, (converted to HIP) and run at double precision (8 simulations*10,000 steps) plus AMD optimizations
to OpenMM_amoebagk that are not yet upstream resulted in a median score of 387.0 seconds or 223.2558 NS/Day Vs. Nvidia DGX dual socket AMD EPYC 7742@2.25GHz CPU server with 1x
NVIDIA A100 SXM 80GB (400W) using benchmark OpenMM_amoebagk v7.6.0, run at double precision (8 simulations*10,000 steps) with CUDA code version 11.4 resulted in a median score of
921.0 seconds or 93.8111 NS/Day. Information on OpenMM: https://openmm.org/ Server manufacturers may vary configurations, yielding different results. Performance may vary based on use oflatest drivers and optimizations
MI200-25A Testing Conducted by AMD performance lab as of 9/30/2021, on a single socket Optimized 3rd Gen AMD EPYC™ CPU server with 1x AMD Instinct™ MI250X OAM (128 GB HBM2e)
560W GPUs with AMD Infinity Fabric™ technology using MILC benchmark version 7.8.1 developer version MILC_QCD on Github, Apex Medium test module, plus AMD optimizations to MILC thatare not yet available upstream resulted in a median score 1,604.567 Total Time (Seconds). Vs. Dual AMD EPYC 7742@2.25GHz CPUs with 1x NVIDIA A100 SXM 80GB (400W) using MILC
benchmark version develop_c30ed15e (quda0.8-patch4Oct2017), Apex Medium test module, resulted in a published score of 2,262 Total Time (Seconds). https://developer.nvidia.com/hpcapplication-performance Nvidia MILC Container details found at: https://ngc.nvidia.com/catalog/containers/hpc:milc Information on MILC: https://web.physics.utah.edu/~detar/milc/ MILC ManualServer manufacturers may vary configurations, yielding different results. Performance may vary based on use of latest drivers and optimizations

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MI200-26A Testing Conducted by AMD performance lab as of 10/14/2021, on a single socket Optimized 3rd Gen AMD EPYC™ CPU server, with 1x AMD Instinct™ MI250X OAM (128 GB HBM2e)
560W GPU with AMD Infinity Fabric™ technology using benchmark HPL v2.3, plus AMD optimizations to HPL that are not yet upstream resulted in a median score of 42.26 TFLOPS Vs. Nvidia
DGX dual socket AMD EPYC 7742@2.25GHz CPU server with 1x NVIDIA A100 SXM 80GB (400W) using benchmark HPL Nvidia container image 21.4-HPL resulting in a median score of 15.33
TFLOPS. Information on HPL: https://www.netlib.org/benchmark/hpl/ Nvidia HPL Container Detail: https://ngc.nvidia.com/catalog/containers/nvidia:hpc-benchmarks Server manufacturers may varyconfigurations, yielding different results. Performance may vary based on use of latest drivers and optimizations
MI200-31 As of October 20th, 2021, the AMD Instinct™ MI200 series accelerators are the “Most advanced server accelerators (GPUs) for data center,” defined as the only server accelerators to use
the advanced 6nm manufacturing technology on a server. AMD on 6nm for AMD Instinct MI200 series server accelerators. Nvidia on 7nm for Nvidia Ampere A100 GPU.
https://developer.nvidia.com/blog/nvidia-ampere-architecture-in-depth/ MI200-31
MLN-016B Results as of 07/06/2021 using SPECrate®2017_int_base. The AMD EPYC 7763 scored 854, http://spec.org/cpu2017/results/res2021q3/cpu2017-20210622-27664.html which is higher
than all other 2P scores published on the SPEC® website. SPEC®, SPECrate® and SPEC CPU® are registered trademarks of the Standard Performance Evaluation Corporation. See
www.spec.org for more information.
MLN-075A Altair™ Radioss™ comparison based on AMD internal testing as of 09/27/2021 measuring the time to run the neon, t10m, and venbatt test case simulations using a server with 2x AMD
EPYC 75F3 versus 2x Intel Xeon Platinum 8362. Neon crash impact is the max result test case. Results may vary.
MLN-080B ANSYS® CFX® 2021.1 comparison based on AMD internal testing as of 09/27/2021 measuring the average time to run the Release 14.0 test case simulations (converted to jobs/day higher is better) using a server with 2x AMD EPYC 75F3 utilizing 1TB (16x 64 GB DDR4-3200) versus 2x Intel Xeon Platinum 8380 utilizing 1TB (16x 64 GB DDR4-3200). Results may vary.
MLN-130A ANSYS® Mechanical® 2021 R2 comparison based on AMD internal testing as of 09/27/2021 measuring the average of all Release 2019 R2 test case simulations using a server with 2x
AMD EPYC 75F3 versus 2x Intel Xeon Platinum 8380. Steady state thermal analysis of a power supply module 5.3M (cg1) is max result. Results may vary.
MLNX-001R: EDA RTL Simulation comparison based on AMD internal testing completed on 9/20/2021 measuring the average time to complete a test case simulation. comparing: 1x 16C 3rd Gen
EPYC CPU with AMD 3D V-Cache Technology versus 1x 16C AMD EPYC™ 73F3 on the same AMD “Daytona” reference platform. Results may vary based on factors including silicon version,
hardware and software configuration and driver versions.
MLNX-026 Estimated SPECrate®2017_fp_base comparison based on AMD internal testing and best performing systems published at www.spec.org as of 10/28/2021. Configurations: 2x 32C AMD
EPYC CPU with AMD V-Cache Technology versus 2x 32C Intel Xeon Platinum 8362 for an estimated 1.18x the performance/Core. The AMD EPYC CPU score is estimated because
SPECrate®2017_fp_base was run on pre-production hardware. Customer systems, planned for 1H’22, are expected to be similar. SPEC®, SPEC CPU®, and SPECrate® are registered trademarksof the Standard Performance Evaluation Corporation. see www.spec.org for more information.