NVIDIA GeForce 9200 vs NVIDIA H200 SXM 141 GB

Comparison of NVIDIA GeForce 9200 and 16 cores vs NVIDIA H200 SXM 141 GB with 141 GB HBM3e and 16,896 cores.

Loading...

Performance Rating

A100 A100
H200 H200
MI325X MI325X

NVIDIA GeForce 9200

NVIDIA GeForce 9200

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

No
🔥 141 ГБ

Memory Type

System Shared HBM3e

Memory Bandwidth

System Dependent
🔥 4.89 TB/s

Memory Bus Width

No 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)

0.0384 TFLOPS
🔥 +174,145% 66.91 TFLOPS

FP64 (Double Precision)

No
🔥 33.45 TFLOPS

CUDA Cores

16
🔥 +105,500% 16,896

RT Cores

No No

Architecture & Compatibility

GPU Architecture

Tesla Hopper

SM (Streaming Multiprocessor)

2
🔥 +6,500% 132

PCIe Version

PCI 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

No
🔥 1,593

Power Consumption

TDP/TGP

🔥 -94% 40 W
700 W

Recommended PSU

No 1100 W

Power Connector

No 8-pin EPS

Rendering

Texture Units (TMU)

8
🔥 +6,500% 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

IGP
🔥 SXM Module

Release Date

May 6, 2008 Nov. 18, 2024

Display Outputs

1x DVI
1x VGA
1x S-Video
No outputs

Renting is cheaper than buying