NVIDIA H200 NVL vs NVIDIA H200 SXM 141 GB

Comparison of NVIDIA H200 NVL with 141 GB HBM3e and 16,896 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 NVIDIA H200 NVL by 5.88% in the overall GPU ARK performance rating

A100 A100
H200 H200
MI325X MI325X

NVIDIA H200 NVL

63.6

NVIDIA H200 NVL

63.6
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

141 ГБ 141 ГБ

Memory Type

HBM3e HBM3e

Memory Bandwidth

4.89 TB/s 4.89 TB/s

Memory Bus Width

6,144 бит 6,144 бит

ML Performance

FP16 (Half Precision)

241.3 TFLOPS
🔥 +11% 267.6 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

60.32 TFLOPS
🔥 +11% 66.91 TFLOPS

FP64 (Double Precision)

30.16 TFLOPS
🔥 +11% 33.45 TFLOPS

CUDA Cores

16,896 16,896

RT Cores

No No

Architecture & Compatibility

GPU Architecture

Hopper Hopper

SM (Streaming Multiprocessor)

132 132

PCIe Version

PCIe 5.0 x16 PCIe 5.0 x16

ML Software Support

CUDA Version

9.0 9.0

Clocks & Performance

Base Clock

1,365
🔥 +10% 1,500

Boost Clock

1,785
🔥 +11% 1,980

Memory Clock

1,593 1,593

Power Consumption

TDP/TGP

🔥 -14% 600 W
700 W

Recommended PSU

🔥 -9% 1000 W
1100 W

Power Connector

8-pin EPS 8-pin EPS

Rendering

Texture Units (TMU)

528 528

ROP

No No

L2 Cache

50 MB 50 MB

Benchmarks

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 (fp4)

7 436 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 (fp4)

130.5 tokens/s

MLPerf, llama3.1-405b (fp8)

25.3 tokens/s

MLPerf, llama3.1-8b (fp8)

5 161 tokens/s

MLPerf, deepseek-r1 (fp4)

2 327 tokens/s

MLPerf, deepseek-r1 (fp8)

1 113 tokens/s

MLPerf, mixtral-8x7b (fp8)

7 132 tokens/s

Additional

Slots

Dual-slot
🔥 SXM Module

Release Date

Nov. 18, 2024 Nov. 18, 2024

Display Outputs

No outputs
No outputs

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