NVIDIA H200 SXM 141 GB vs ZOTAC GTX 1650 Destroyer PA

Comparison of NVIDIA H200 SXM 141 GB with 141 GB HBM3e and 16,896 cores vs ZOTAC GTX 1650 Destroyer PA with 4 GB GDDR5 and 896 cores.

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Performance Rating

H200 H200
MI325X MI325X
A100 A100

NVIDIA H200 SXM 141 GB

NVIDIA H200 SXM 141 GB

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

ZOTAC GTX 1650 Destroyer PA

ZOTAC GTX 1650 Destroyer PA

Contents:

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

Memory

Memory Size

141 GB 4 GB

Memory Type

HBM3e GDDR5

Memory Bandwidth

4.89 TB/s 128.1 GB/s

Memory Bus Width

6,144 бит 128 бит

ML Performance

FP16 (Half Precision)

267.6 TFLOPS 5.967 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

66.91 TFLOPS 2.984 TFLOPS

FP64 (Double Precision)

33.45 TFLOPS 0.0932 TFLOPS

CUDA Cores

16,896 896

RT Cores

No No

Architecture & Compatibility

GPU Architecture

Hopper Turing

SM (Streaming Multiprocessor)

132 14

PCIe Version

PCIe 5.0 x16 PCIe 3.0 x16

ML Software Support

CUDA Version

🔥 9.0
7.5

Clocks & Performance

Base Clock

1,500 1,485

Boost Clock

1,980 1,665

Memory Clock

1,593 2,001

Power Consumption

TDP/TGP

700 W
🔥 -89% 75 W

Recommended PSU

1100 W
🔥 -77% 250 W

Power Connector

8-pin EPS 1x 6-pin

Rendering

Texture Units (TMU)

528 56

ROP

No No

L2 Cache

50 MB 1024 KB

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

SXM Module Dual-slot

Release Date

Nov. 18, 2024 April 23, 2019

Display Outputs

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

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