AMD Radeon Instinct MI300X vs Intel Data Center GPU Max NEXT

Comparison of AMD Radeon Instinct MI300X with 192 GB HBM3 and 19,456 cores vs Intel Data Center GPU Max NEXT with 128 GB HBM2e and 20,480 cores.

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Performance Rating

AMD Radeon Instinct MI300X outperforms Intel Data Center GPU Max NEXT by 51.48% in the overall GPU ARK performance rating

A100 A100
H200 H200
MI325X MI325X

AMD Radeon Instinct MI300X

94.1

AMD Radeon Instinct MI300X

94.1
RX 7900 XTX RX 7900 XTX
MI250 MI250
Instinct MI300X Instinct MI300X

Intel Data Center GPU Max NEXT

62.1

Intel Data Center GPU Max NEXT

62.1

Contents:

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

Memory

Memory Size

🔥 +50% 192 ГБ
128 ГБ

Memory Type

HBM3 HBM2e

Memory Bandwidth

🔥 +221% 10.3 TB/s
3.21 TB/s

Memory Bus Width

8,192 бит 8,192 бит

ML Performance

FP16 (Half Precision)

🔥 +897% 653.7 TFLOPS
65.54 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 +25% 81.72 TFLOPS
65.54 TFLOPS

FP64 (Double Precision)

🔥 +25% 81.72 TFLOPS
65.54 TFLOPS

CUDA Cores

🔥 19,456
20,480

RT Cores

No 160

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

🔥 +11% 1,000
900

Boost Clock

🔥 +31% 2,100
1,600

Memory Clock

🔥 +61% 2,525
1,565

Power Consumption

TDP/TGP

🔥 -6% 750 W
800 W

Recommended PSU

🔥 -4% 1150 W
1200 W

Power Connector

None 8-pin EPS

Rendering

Texture Units (TMU)

🔥 1,216
1,280

ROP

No 160

L2 Cache

🔥 16 MB
408 MB

Benchmarks

MLPerf, llama2-70b-99.9 (UINT4)

527.5 tokens/s

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

MLPerf, llama3.1-8b (UINT4)

1 337 tokens/s

MLPerf, llama3.1-8b-edge (UINT4)

1 652 tokens/s

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

🔥 +2,737% 232.9 tokens/s
8.21 tokens/s

MLPerf, mixtral-8x7b (fp8)

5 975 tokens/s

Additional

Slots

OAM Module OAM Module

Release Date

Dec. 6, 2023 No

Display Outputs

No outputs
No outputs

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