AMD Radeon Instinct MI300X vs NVIDIA RTX A5000-8Q

Comparison of AMD Radeon Instinct MI300X with 192 GB HBM3 and 19,456 cores vs NVIDIA RTX A5000-8Q with 8 GB GDDR6 and 8,192 cores.

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Performance Rating

H200 H200
MI325X MI325X
A100 A100

AMD Radeon Instinct MI300X

AMD Radeon Instinct MI300X

RX 7900 XTX RX 7900 XTX
Instinct MI300X Instinct MI300X
MI250 MI250

NVIDIA RTX A5000-8Q

NVIDIA RTX A5000-8Q

Contents:

Memory ML Performance Compute Power Architecture & Compatibility ML Software Support Clocks & Performance Power Consumption Rendering Benchmarks Additional

Memory

Memory Size

192 GB 8 GB

Memory Type

HBM3 GDDR6

Memory Bandwidth

10.3 TB/s 768.0 GB/s

Memory Bus Width

8,192 бит 384 бит

ML Performance

FP16 (Half Precision)

653.7 TFLOPS 27.77 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

81.72 TFLOPS 27.77 TFLOPS

FP64 (Double Precision)

81.72 TFLOPS 0.4339 TFLOPS

CUDA Cores

19,456 8,192

RT Cores

No 64

Architecture & Compatibility

GPU Architecture

CDNA 3.0 Ampere

SM (Streaming Multiprocessor)

No 64

PCIe Version

PCIe 5.0 x16 PCIe 4.0 x16

ML Software Support

CUDA Version

No 8.6

Clocks & Performance

Base Clock

1,000 1,170

Boost Clock

2,100 1,695

Memory Clock

2,525 2,000

Power Consumption

TDP/TGP

750 W
🔥 -69% 230 W

Recommended PSU

1150 W
🔥 -52% 550 W

Power Connector

None 1x 8-pin

Rendering

Texture Units (TMU)

1,216 256

ROP

No 64

L2 Cache

16 MB 6 MB

Benchmarks

MLPerf, llama2-70b-99.9 (UNSET)

1 983 tokens/s

MLPerf, llama2-70b-99.9 (fp16)

1 740 tokens/s

MLPerf, llama2-70b-99.9 (fp8)

1 057 tokens/s

MLPerf, llama3.1-405b (UNSET)

30.4 tokens/s

MLPerf, llama3.1-405b (fp16)

34.8 tokens/s

llama.cpp, llama-2-7b-Q4_0

232.9 tokens/s

MLPerf, mixtral-8x7b (fp8)

5 975 tokens/s

Additional

Slots

OAM Module Dual-slot

Release Date

Dec. 6, 2023 April 12, 2021

Display Outputs

No outputs
4x DisplayPort 1.4a

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