Intel Data Center GPU Max NEXT vs NVIDIA H200 SXM 141 GB

Comparison of Intel Data Center GPU Max NEXT with 128 GB HBM2e and 20,480 cores vs NVIDIA H200 SXM 141 GB with 141 GB HBM3e and 16,896 cores.

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Performance Rating

NVIDIA H200 SXM 141 GB outperforms Intel Data Center GPU Max NEXT by 8.47% in the overall GPU ARK performance rating

A100 A100
H200 H200
MI325X MI325X

Intel Data Center GPU Max NEXT

62.1

Intel Data Center GPU Max NEXT

62.1
RX 7900 XTX RX 7900 XTX
MI250 MI250
Instinct MI300X Instinct MI300X

NVIDIA H200 SXM 141 GB

67.4

NVIDIA H200 SXM 141 GB

67.4

Contents:

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

Memory

Memory Size

128 ГБ
🔥 +10% 141 ГБ

Memory Type

HBM2e HBM3e

Memory Bandwidth

3.21 TB/s
🔥 +52% 4.89 TB/s

Memory Bus Width

8,192 бит 6,144 бит

ML Performance

FP16 (Half Precision)

65.54 TFLOPS
🔥 +308% 267.6 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

65.54 TFLOPS
🔥 +2% 66.91 TFLOPS

FP64 (Double Precision)

65.54 TFLOPS
🔥 33.45 TFLOPS

CUDA Cores

20,480
🔥 16,896

RT Cores

160 No

Architecture & Compatibility

GPU Architecture

Generation 12.5 Hopper

SM (Streaming Multiprocessor)

No
🔥 132

PCIe Version

PCIe 5.0 x16 PCIe 5.0 x16

ML Software Support

CUDA Version

No 9.0

Clocks & Performance

Base Clock

900
🔥 +67% 1,500

Boost Clock

1,600
🔥 +24% 1,980

Memory Clock

1,565
🔥 +2% 1,593

Power Consumption

TDP/TGP

800 W
🔥 -12% 700 W

Recommended PSU

1200 W
🔥 -8% 1100 W

Power Connector

8-pin EPS 8-pin EPS

Rendering

Texture Units (TMU)

1,280
🔥 528

ROP

160 No

L2 Cache

408 MB
🔥 50 MB

Benchmarks

MLPerf, llama2-70b-99.9 (UINT4)

527.5 tokens/s

MLPerf, llama2-70b-99.9 (UNSET)

3 534 tokens/s

MLPerf, llama2-70b-99.9 (fp16)

3 553 tokens/s

MLPerf, llama2-70b-99.9 (fp8)

2 444 tokens/s

MLPerf, llama3.1-405b (fp16)

40.8 tokens/s

MLPerf, llama3.1-405b (fp8)

25.3 tokens/s

MLPerf, llama3.1-8b (UINT4)

1 337 tokens/s

MLPerf, llama3.1-8b (fp8)

5 161 tokens/s

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

1 652 tokens/s

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

8.21 tokens/s

MLPerf, deepseek-r1 (fp8)

1 113 tokens/s

MLPerf, mixtral-8x7b (fp8)

7 132 tokens/s

Additional

Slots

OAM Module
🔥 SXM Module

Release Date

No Nov. 18, 2024

Display Outputs

No outputs
No outputs

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