H200 SXM vs NVIDIA Tesla V100 SXM2 32 GB

VS

AI GPU We compared a GPU: 141GB VRAM H200 SXM and a Professional market GPU: 32GB VRAM Tesla V100 SXM2 32 GB to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

H200 SXM 's Advantages

Released 5 years and 8 months late

Boost Clock has increased by 29% (1980MHz vs 1530MHz)

More VRAM (141GB vs 32GB)

Larger VRAM bandwidth (4800GB/s vs 897.0GB/s)

11776 additional rendering cores

NVIDIA Tesla V100 SXM2 32 GB 's Advantages

Lower TDP (250W vs 700W)

Score

Benchmark

FP32 (float)

H200 SXM +327%

67 TFLOPS

Tesla V100 SXM2 32 GB

15.67 TFLOPS

H200 SXM

VS

Tesla V100 SXM2 32 GB

Graphics Card

Nov 2023

Release Date

Mar 2018

Hopper

Generation

Tesla

AI GPU

Type

Professional

PCIe 5.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

1590 MHz

Base Clock

1290 MHz

1980 MHz

Boost Clock

1530 MHz

1313 MHz

Memory Clock

876 MHz

Memory

141GB

Memory Size

32GB

HBM3e

Memory Type

HBM2

5120bit

Memory Bus

4096bit

4800GB/s

Bandwidth

897.0GB/s

Render Config

132

SM Count

80

-

Compute Units

-

16896

Shading Units

5120

528

TMUs

320

24

ROPs

128

528

Tensor Cores

640

-

RT Cores

-

256 KB (per SM)

L1 Cache

128 KB (per SM)

50 MB

L2 Cache

6 MB

Theoretical Performance

47.52 GPixel/s

Pixel Rate

195.8 GPixel/s

1045 GTexel/s

Texture Rate

489.6 GTexel/s

1979 TFLOPS

FP16 (half)

31.33 TFLOPS

67 TFLOPS

FP32 (float)

15.67 TFLOPS

34 TFLOPS

FP64 (double)

7.834 TFLOPS

Graphics Processor

GH200

GPU Name

GV100

-

GPU Variant

-

Hopper

Architecture

Volta

TSMC

Foundry

TSMC

4 nm

Process Size

12 nm

80 billion

Transistors

21.1 billion

814 mm²

Die Size

815 mm²

Board Design

700W

TDP

250W

1100 W

Suggested PSU

600 W

No outputs

Outputs

No outputs

8-pin EPS

Power Connectors

None

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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