AMD Radeon Instinct MI300X vs Intel Data Center GPU Max 1550

Comparison of AMD Radeon Instinct MI300X with 192 GB HBM3 and 19,456 cores vs Intel Data Center GPU Max 1550 with 128 GB HBM2e and 16,384 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

Intel Data Center GPU Max 1550

Intel Data Center GPU Max 1550

Contents:

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

Memory

Memory Size

192 GB 128 GB

Memory Type

HBM3 HBM2e

Memory Bandwidth

10.3 TB/s 3.28 TB/s

Memory Bus Width

8,192 бит 8,192 бит

ML Performance

FP16 (Half Precision)

653.7 TFLOPS 52.43 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

81.72 TFLOPS 52.43 TFLOPS

FP64 (Double Precision)

81.72 TFLOPS 52.43 TFLOPS

CUDA Cores

19,456 16,384

RT Cores

No 128

Architecture & Compatibility

GPU Architecture

CDNA 3.0 Generation 12.5

SM (Streaming Multiprocessor)

No No

PCIe Version

PCIe 5.0 x16 PCIe 5.0 x16

ML Software Support

CUDA Version

No No

Clocks & Performance

Base Clock

1,000 900

Boost Clock

2,100 1,600

Memory Clock

2,525 1,600

Power Consumption

TDP/TGP

750 W
🔥 -20% 600 W

Recommended PSU

1150 W
🔥 -13% 1000 W

Power Connector

None No

Rendering

Texture Units (TMU)

1,216 1,024

ROP

No 128

L2 Cache

16 MB 408 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 OAM Module

Release Date

Dec. 6, 2023 Jan. 10, 2023

Display Outputs

No outputs
No outputs

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