AMD Radeon Instinct MI300X vs Inno3D P102-100 Twin X2

Comparison of AMD Radeon Instinct MI300X with 192 GB HBM3 and 19,456 cores vs Inno3D P102-100 Twin X2 with 5 GB GDDR5X and 3,200 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

Inno3D P102-100 Twin X2

Inno3D P102-100 Twin X2

Contents:

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

Memory

Memory Size

192 GB 5 GB

Memory Type

HBM3 GDDR5X

Memory Bandwidth

10.3 TB/s 440.3 GB/s

Memory Bus Width

8,192 бит 320 бит

ML Performance

FP16 (Half Precision)

653.7 TFLOPS 0.1683 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

81.72 TFLOPS 10.77 TFLOPS

FP64 (Double Precision)

81.72 TFLOPS 0.3366 TFLOPS

CUDA Cores

19,456 3,200

RT Cores

No No

Architecture & Compatibility

GPU Architecture

CDNA 3.0 Pascal

SM (Streaming Multiprocessor)

No 25

PCIe Version

PCIe 5.0 x16 PCIe 1.0 x4

ML Software Support

CUDA Version

No 6.1

Clocks & Performance

Base Clock

1,000 1,582

Boost Clock

2,100 1,683

Memory Clock

2,525 1,376

Power Consumption

TDP/TGP

750 W
🔥 -67% 250 W

Recommended PSU

1150 W
🔥 -48% 600 W

Power Connector

None 2x 8-pin

Rendering

Texture Units (TMU)

1,216 200

ROP

No No

L2 Cache

16 MB 2.5 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 Feb. 12, 2018

Display Outputs

No outputs
No outputs

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