AMD Radeon Instinct MI325X vs NVIDIA Tesla V100 PCIe 16 GB

Comparison of AMD Radeon Instinct MI325X with 288 GB HBM3e and 19,456 cores vs NVIDIA Tesla V100 PCIe 16 GB with 16 GB HBM2 and 5,120 cores.

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Performance Rating

H200 H200
MI325X MI325X
A100 A100

AMD Radeon Instinct MI325X

AMD Radeon Instinct MI325X

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

NVIDIA Tesla V100 PCIe 16 GB

14.1

NVIDIA Tesla V100 PCIe 16 GB

14.1

Contents:

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

Memory

Memory Size

288 GB 16 ГБ

Memory Type

HBM3e HBM2

Memory Bandwidth

10.3 TB/s 897.0 GB/s

Memory Bus Width

8,192 бит 4,096 бит

ML Performance

FP16 (Half Precision)

653.7 TFLOPS 28.26 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

81.72 TFLOPS 14.13 TFLOPS

FP64 (Double Precision)

81.72 TFLOPS 7.066 TFLOPS

CUDA Cores

19,456 5,120

RT Cores

No No

Architecture & Compatibility

GPU Architecture

CDNA 3.0 Volta

SM (Streaming Multiprocessor)

No 80

PCIe Version

PCIe 5.0 x16 PCIe 3.0 x16

ML Software Support

CUDA Version

No 7.0

Clocks & Performance

Base Clock

1,000 1,245

Boost Clock

2,100 1,380

Memory Clock

2,525 876

Power Consumption

TDP/TGP

1000 W
🔥 -70% 300 W

Recommended PSU

1400 W
🔥 -50% 700 W

Power Connector

None 2x 8-pin

Rendering

Texture Units (TMU)

1,216 320

ROP

No No

L2 Cache

16 MB 6 MB

Benchmarks

MLPerf, llama2-70b-99.9 (Dummy)

3 596 tokens/s

MLPerf, llama2-70b-99.9 (fp8)

1 946 tokens/s

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

22.4 tokens/s

MLPerf, mixtral-8x7b (fp8)

6 975 tokens/s

Additional

Slots

OAM Module Dual-slot

Release Date

Oct. 12, 2024 June 21, 2017

Display Outputs

No outputs
No outputs

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