NVIDIA Tesla V100 FHHL vs NVIDIA H100 PCIe

VS

AI GPU We compared a Professional market GPU: 16GB VRAM Tesla V100 FHHL and a GPU: 80GB VRAM H100 PCIe to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla V100 FHHL 's Advantages

Lower TDP (250W vs 350W)

NVIDIA H100 PCIe 's Advantages

Released 4 years late

Boost Clock has increased by 36% (1755MHz vs 1290MHz)

More VRAM (80GB vs 16GB)

Larger VRAM bandwidth (2039GB/s vs 829.4GB/s)

9472 additional rendering cores

Score

Benchmark

FP32 (float)

Tesla V100 FHHL

13.21 TFLOPS

H100 PCIe +287%

51.22 TFLOPS

Tesla V100 FHHL

VS

H100 PCIe

Graphics Card

Mar 2018

Release Date

Mar 2022

Tesla

Generation

Tesla Hopper

Professional

Type

AI GPU

PCIe 3.0 x16

Bus Interface

PCIe 5.0 x16

Clock Speeds

937 MHz

Base Clock

1095 MHz

1290 MHz

Boost Clock

1755 MHz

810 MHz

Memory Clock

1593 MHz

Memory

16GB

Memory Size

80GB

HBM2

Memory Type

HBM2e

4096bit

Memory Bus

5120bit

829.4GB/s

Bandwidth

2039GB/s

Render Config

80

SM Count

114

-

Compute Units

-

5120

Shading Units

14592

320

TMUs

456

128

ROPs

24

640

Tensor Cores

456

-

RT Cores

-

128 KB (per SM)

L1 Cache

256 KB (per SM)

6 MB

L2 Cache

50 MB

Theoretical Performance

165.1 GPixel/s

Pixel Rate

42.12 GPixel/s

412.8 GTexel/s

Texture Rate

800.3 GTexel/s

26.42 TFLOPS

FP16 (half)

204.9 TFLOPS

13.21 TFLOPS

FP32 (float)

51.22 TFLOPS

6.605 TFLOPS

FP64 (double)

25.61 TFLOPS

Graphics Processor

GV100

GPU Name

GH100

-

GPU Variant

-

Volta

Architecture

Hopper

TSMC

Foundry

TSMC

12 nm

Process Size

4 nm

21.1 billion

Transistors

80 billion

815 mm²

Die Size

814 mm²

Board Design

250W

TDP

350W

600 W

Suggested PSU

750 W

No outputs

Outputs

No outputs

1x 8-pin

Power Connectors

1x 16-pin

Graphics Features

12 (12_1)

DirectX

N/A

4.6

OpenGL

N/A

3.0

OpenCL

3.0

1.3

Vulkan

N/A

7.0

CUDA

9.0

6.6

Shader Model

N/A

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