NVIDIA H100 SXM5 96 GB vs NVIDIA Quadro P620

Comparison of NVIDIA H100 SXM5 96 GB with 96 GB HBM3 and 16,896 cores vs NVIDIA Quadro P620 with 2 GB GDDR5 and 512 cores.

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Performance Rating

NVIDIA H100 SXM5 96 GB outperforms NVIDIA Quadro P620 by 3.02% in the overall GPU ARK performance rating

A100 A100
H200 H200
MI325X MI325X

NVIDIA H100 SXM5 96 GB

57.9

NVIDIA H100 SXM5 96 GB

57.9
RX 7900 XTX RX 7900 XTX
MI250 MI250
Instinct MI300X Instinct MI300X

NVIDIA Quadro P620

56.2

NVIDIA Quadro P620

56.2

Expert Comparison

NVIDIA H100 SXM5 96 GB значительно превосходит NVIDIA Quadro P620 по всем параметрам: количество ядер, объем памяти, пропускная способность и энергопотребление. H100 подходит для высокопроизводительных вычислений, машинного обучения и AI, в то время как Quadro P620 более подходящ для базовых задач в области CAD или офисной работы.

Contents:

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

Memory

Memory Size

🔥 +4,700% 96 ГБ
2 ГБ

Memory Type

HBM3 GDDR5

Memory Bandwidth

🔥 3.36 TB/s
80.13 GB/s

Memory Bus Width

5,120 бит 128 бит

ML Performance

FP16 (Half Precision)

🔥 +1,135% 267.6 TFLOPS
21.66 TFLOPS

BF16 (Brain Float)

No No

TF32 (TensorFloat)

No No

Compute Power

FP32 (Single Precision)

🔥 66.91 TFLOPS
1,386.0 TFLOPS

FP64 (Double Precision)

🔥 +77,098% 33.45 TFLOPS
0.04333 TFLOPS

CUDA Cores

🔥 +3,200% 16,896
512

RT Cores

No No

Architecture & Compatibility

GPU Architecture

Hopper Pascal

SM (Streaming Multiprocessor)

🔥 +3,200% 132
4

PCIe Version

PCIe 5.0 x16 PCIe 3.0 x16

ML Software Support

CUDA Version

🔥 9.0
6.1

Clocks & Performance

Base Clock

🔥 +7% 1,350
1,266

Boost Clock

🔥 +46% 1,980
1,354

Memory Clock

🔥 +5% 1,313
1,252

Power Consumption

TDP/TGP

700 W
🔥 -94% 40 W

Recommended PSU

1100 W
🔥 -82% 200 W

Power Connector

8-pin EPS None

Rendering

Texture Units (TMU)

🔥 +1,550% 528
32

ROP

No No

L2 Cache

🔥 50 MB
1024 KB

Benchmarks

llama.cpp, llama 7B Q4_0

248.8 tokens/s

llama.cpp, llama-2-7b-Q4_0

🔥 +276% 280.7 tokens/s
74.7 tokens/s

Additional

Slots

🔥 SXM Module
Single-slot

Release Date

March 21, 2023 Feb. 1, 2018

Display Outputs

No outputs
4x mini-DisplayPort 1.4a

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