NVIDIA GRID M40 vs NVIDIA H200 SXM 141 GB

Comparison NVIDIA GRID M40 with 8 GB GDDR5 and 384 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 GRID M40 by 5,759.13% in the overall GPU ARK performance rating

A100 A100
H200 H200
MI325X MI325X

NVIDIA GRID M40

1.2

NVIDIA GRID M40

1.2
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

Expert Comparison

NVIDIA H200 SXM 141 GB значительно превосходит NVIDIA GRID M40 по количеству ядер (16896 против 384), объему памяти (141 ГБ HBM3e против 8 ГБ GDDR5) и пропускной способности (4.89 TB/s против 83.20 GB/s). H200 SXM предназначен для высокопроизводительных вычислений и AI, в то время как GRID M40 больше подходит для виртуализации и легких задач.

Contents:

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

Memory

Memory Size

8 GB
🔥 +1,662% 141 ГБ

Memory Type

GDDR5 HBM3e

Memory Bandwidth

83.20 GB/s
🔥 4.89 TB/s

Memory Bus Width

128 бит 6,144 бит

ML Performance

FP16 (Half Precision)

No
🔥 267.6 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

0.7933 TFLOPS
🔥 +8,334% 66.91 TFLOPS

FP64 (Double Precision)

0.0248 TFLOPS
🔥 +134,779% 33.45 TFLOPS

CUDA Cores

384
🔥 +4,300% 16,896

RT Cores

No No

Architecture & Compatibility

GPU Architecture

Maxwell Hopper

SM (Streaming Multiprocessor)

No
🔥 132

PCIe Version

PCIe 3.0 x16 PCIe 5.0 x16

ML Software Support

CUDA Version

5.0
🔥 9.0

CUDA Toolkit (first supported)

v6 v12

CUDA Toolkit (deprecated)

v12

CUDA Toolkit (support removed)

v13

CUDA Toolkit status

Removed Supported

Clocks & Performance

Base Clock

No
🔥 1,500

Boost Clock

No
🔥 1,980

Memory Clock

1,300
🔥 +23% 1,593

Power Consumption

Recommended PSU

🔥 -77% 250 W
1100 W

Power Connector

No 8-pin EPS

TDP/TGP

🔥 -93% 50 W
700 W

Rendering

Texture Units (TMU)

32
🔥 +1,550% 528

ROP

No No

L2 Cache

2 MB
🔥 +2,400% 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 (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 (fp8)

5 161 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

May 18, 2016 Nov. 18, 2024

Display Outputs

No outputs
No outputs

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