MSI GTX 1650 Low Profile V1 vs NVIDIA H200 SXM 141 GB

Comparison of MSI GTX 1650 Low Profile V1 with 4 GB GDDR5 and 896 cores vs NVIDIA H200 SXM 141 GB with 141 GB HBM3e and 16,896 cores.

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Performance Rating

H200 H200
MI325X MI325X
A100 A100

MSI GTX 1650 Low Profile V1

2.3

MSI GTX 1650 Low Profile V1

2.3
RX 7900 XTX RX 7900 XTX
Instinct MI300X Instinct MI300X
MI250 MI250

NVIDIA H200 SXM 141 GB

NVIDIA H200 SXM 141 GB

Contents:

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

Memory

Memory Size

4 ГБ 141 GB

Memory Type

GDDR5 HBM3e

Memory Bandwidth

128.1 GB/s 4.89 TB/s

Memory Bus Width

128 бит 6,144 бит

ML Performance

FP16 (Half Precision)

5.967 TFLOPS 267.6 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

2.984 TFLOPS 66.91 TFLOPS

FP64 (Double Precision)

0.09323999999999999 TFLOPS 33.45 TFLOPS

CUDA Cores

896 16,896

RT Cores

No No

Architecture & Compatibility

GPU Architecture

Turing Hopper

SM (Streaming Multiprocessor)

14 132

PCIe Version

PCIe 3.0 x16 PCIe 5.0 x16

ML Software Support

CUDA Version

7.5
🔥 9.0

Clocks & Performance

Base Clock

1,485 1,500

Boost Clock

1,665 1,980

Memory Clock

2,001 1,593

Power Consumption

TDP/TGP

🔥 -89% 75 W
700 W

Recommended PSU

🔥 -77% 250 W
1100 W

Power Connector

None 8-pin EPS

Rendering

Texture Units (TMU)

56 528

ROP

No No

L2 Cache

1024 KB 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

April 23, 2019 Nov. 18, 2024

Display Outputs

1x DVI
1x HDMI 2.0
1x DisplayPort 1.4a
No outputs

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