NVIDIA H100 CNX vs NVIDIA Tesla V100 PCIe 32 GB

VS

NVIDIA H100 CNX NVIDIA Tesla V100 PCIe 32 GB

We compared a GPU: 80GB VRAM H100 CNX and a Professional market GPU: 32GB VRAM Tesla V100 PCIe 32 GB to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA H100 CNX's Advantages

Released 5 years late

Boost Clock has increased by 34% (1845MHz vs 1380MHz)

More VRAM (80GB vs 32GB)

Larger VRAM bandwidth (2039GB/s vs 897.0GB/s)

9472 additional rendering cores

NVIDIA Tesla V100 PCIe 32 GB's Advantages

Lower TDP (250W vs 350W)

Score

Benchmark

FP32 (float)

H100 CNX +281%

53.84 TFLOPS

Tesla V100 PCIe 32 GB

14.13 TFLOPS

H100 CNX

VS

Tesla V100 PCIe 32 GB

Graphics Card

Mar 2023

Release Date

Mar 2018

Tesla Hopper

Generation

Tesla

AI GPU

Type

Professional

PCIe 5.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

690MHz

Base Clock

1230MHz

1845MHz

Boost Clock

1380MHz

1593MHz

Memory Clock

876MHz

Memory

80GB

Memory Size

32GB

HBM2e

Memory Type

HBM2

5120bit

Memory Bus

4096bit

2039 GB/s

Bandwidth

897.0 GB/s

Render Config

114

SM Count

80

-

Compute Units

-

14592

Shading Units

5120

456

TMUs

320

24

ROPs

128

456

Tensor Cores

640

-

RT Cores

-

256 KB (per SM)

L1 Cache

128 KB (per SM)

50MB

L2 Cache

6MB

Theoretical Performance

44.28 GPixel/s

Pixel Rate

176.6 GPixel/s

841.3 GTexel/s

Texture Rate

441.6 GTexel/s

215.4 TFLOPS

FP16 (half)

28.26 TFLOPS

53.84 TFLOPS

FP32 (float)

14.13 TFLOPS

26.92 TFLOPS

FP64 (double)

7.066 TFLOPS

Graphics Processor

GH100

GPU Name

GV100

-

GPU Variant

-

Hopper

Architecture

Volta

TSMC

Foundry

TSMC

4 nm

Process Size

12 nm

80,000 million

Transistors

21,100 million

814mm²

Die Size

815mm²

Board Design

350W

TDP

250W

750W

Suggested PSU

600W

No outputs

Outputs

No outputs

8-pin EPS

Power Connectors

2x 8-pin

Graphics Features

N/A

DirectX

12 (12_1)

N/A

OpenGL

4.6

3.0

OpenCL

3.0

N/A

Vulkan

1.3

9.0

CUDA

7.0

N/A

Shader Model

6.6

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