AMD Radeon Instinct MI300X vs Intel Data Center GPU Max 1350

Comparison of AMD Radeon Instinct MI300X with 192 GB HBM3 and 19,456 cores vs Intel Data Center GPU Max 1350 with 96 GB HBM2e and 14,336 cores.

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Performance Rating

AMD Radeon Instinct MI300X outperforms Intel Data Center GPU Max 1350 by 106.54% 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 1350

45.6

Intel Data Center GPU Max 1350

45.6

Contents:

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

Memory

Memory Size

🔥 +100% 192 ГБ
96 ГБ

Memory Type

HBM3 HBM2e

Memory Bandwidth

🔥 +319% 10.3 TB/s
2.46 TB/s

Memory Bus Width

8,192 бит 8,192 бит

ML Performance

FP16 (Half Precision)

🔥 +1,371% 653.7 TFLOPS
44.44 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 +84% 81.72 TFLOPS
44.44 TFLOPS

FP64 (Double Precision)

🔥 +84% 81.72 TFLOPS
44.44 TFLOPS

CUDA Cores

🔥 +36% 19,456
14,336

RT Cores

No
🔥 112

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

🔥 +33% 1,000
750

Boost Clock

🔥 +35% 2,100
1,550

Memory Clock

🔥 +110% 2,525
1,200

Power Consumption

TDP/TGP

750 W
🔥 -40% 450 W

Recommended PSU

1150 W
🔥 -26% 850 W

Power Connector

None No

Rendering

Texture Units (TMU)

🔥 +36% 1,216
896

ROP

No
🔥 112

L2 Cache

16 MB
🔥 +2,450% 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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