NVIDIA GeForce4 MX 440-8x vs NVIDIA H200 SXM 141 GB

Comparison of NVIDIA GeForce4 MX 440-8x with 32 GB DDR vs NVIDIA H200 SXM 141 GB with 141 GB HBM3e and 16,896 cores.

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Performance Rating

A100 A100
H200 H200
MI325X MI325X

NVIDIA GeForce4 MX 440-8x

0.0

NVIDIA GeForce4 MX 440-8x

0.0
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

32 ГБ
🔥 +341% 141 ГБ

Memory Type

DDR HBM3e

Memory Bandwidth

2.000 GB/s
🔥 +144% 4.89 TB/s

Memory Bus Width

32 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)

No
🔥 66.91 TFLOPS

FP64 (Double Precision)

No
🔥 33.45 TFLOPS

CUDA Cores

No
🔥 16,896

RT Cores

No No

Architecture & Compatibility

GPU Architecture

Celsius Hopper

SM (Streaming Multiprocessor)

No
🔥 132

PCIe Version

AGP 8x PCIe 5.0 x16

ML Software Support

CUDA Version

No 9.0

Clocks & Performance

Base Clock

No
🔥 1,500

Boost Clock

No
🔥 1,980

Memory Clock

250
🔥 +537% 1,593

Power Consumption

TDP/TGP

unknown 700 W

Recommended PSU

🔥 -82% 200 W
1100 W

Power Connector

None 8-pin EPS

Rendering

Texture Units (TMU)

4
🔥 +13,100% 528

ROP

No No

L2 Cache

No
🔥 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

Single-slot
🔥 SXM Module

Release Date

Sept. 25, 2002 Nov. 18, 2024

Display Outputs

1x VGA
1x S-Video
No outputs

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