NVIDIA H200 SXM 141 GB vs NVIDIA Quadro 4100

Comparison NVIDIA H200 SXM 141 GB with 141 GB HBM3e and 16,896 cores vs NVIDIA Quadro 4100 with 2 GB DDR3 and 1,344 cores.

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Performance Rating

NVIDIA H200 SXM 141 GB outperforms NVIDIA Quadro 4100 by 4,111.25% in the overall GPU ARK performance rating

A100 A100
H200 H200
MI325X MI325X

NVIDIA H200 SXM 141 GB

67.4

NVIDIA H200 SXM 141 GB

67.4
RX 7900 XTX RX 7900 XTX
MI250 MI250
Instinct MI300X Instinct MI300X

NVIDIA Quadro 4100

1.6

NVIDIA Quadro 4100

1.6

Expert Comparison

NVIDIA H200 SXM 141 GB значительно превосходит NVIDIA Quadro 4100 по многим параметрам. У первой видеокарты гораздо больше ядер, большая память и высокая пропускная способность, что делает её идеальной для вычислительной графики, машинного обучения и других интенсивных задач. В то время как Quadro 4100 более подходящ для менее требовательных задач, таких как 2D-графика и базовые задачи CAD.

Contents:

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

Memory

Memory Size

🔥 +6,950% 141 ГБ
2 GB

Memory Type

HBM3e DDR3

Memory Bandwidth

🔥 4.89 TB/s
57.02 GB/s

Memory Bus Width

6,144 бит 256 бит

ML Performance

FP16 (Half Precision)

🔥 267.6 TFLOPS
No

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 +3,024% 66.91 TFLOPS
2.142 TFLOPS

FP64 (Double Precision)

🔥 +37,358% 33.45 TFLOPS
0.0893 TFLOPS

CUDA Cores

🔥 +1,157% 16,896
1,344

RT Cores

No No

Architecture & Compatibility

GPU Architecture

Hopper Kepler

SM (Streaming Multiprocessor)

🔥 132
No

PCIe Version

PCIe 5.0 x16 PCIe 3.0 x16

ML Software Support

CUDA Version

🔥 9.0
3.0

CUDA Toolkit (first supported)

v12 v5

CUDA Toolkit (deprecated)

v10

CUDA Toolkit (support removed)

v11

CUDA Toolkit status

Supported Removed

Clocks & Performance

Base Clock

🔥 1,500
No

Boost Clock

🔥 1,980
No

Memory Clock

🔥 +79% 1,593
891

Power Consumption

Recommended PSU

1100 W
🔥 -82% 200 W

Power Connector

8-pin EPS No

TDP/TGP

700 W
🔥 -95% 35 W

Rendering

Texture Units (TMU)

🔥 +371% 528
112

ROP

No No

L2 Cache

🔥 50 MB
512 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
Single-slot

Release Date

Nov. 18, 2024 No

Display Outputs

No outputs
4x mini-DisplayPort 1.2

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