NVIDIA H100 PCIe vs NVIDIA Tesla M2070 Q

VS

NVIDIA H100 PCIe NVIDIA Tesla M2070 Q

AI GPU We compared a GPU: 80GB VRAM H100 PCIe and a Professional market GPU: 6GB VRAM Tesla M2070 Q to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA H100 PCIe 's Advantages

Released 10 years and 8 months late

Boost Clock1755MHz

More VRAM (80GB vs 6GB)

Larger VRAM bandwidth (2039GB/s vs 150.3GB/s)

14144 additional rendering cores

NVIDIA Tesla M2070 Q 's Advantages

Lower TDP (225W vs 350W)

Score

Benchmark

FP32 (float)

H100 PCIe +4882%

51.22 TFLOPS

Tesla M2070 Q

1.028 TFLOPS

H100 PCIe

VS

Tesla M2070 Q

Graphics Card

Mar 2022

Release Date

Jul 2011

Tesla Hopper

Generation

Tesla

AI GPU

Type

Professional

PCIe 5.0 x16

Bus Interface

PCIe 2.0 x16

Clock Speeds

1095 MHz

Base Clock

-

1755 MHz

Boost Clock

-

1593 MHz

Memory Clock

783 MHz

Memory

80GB

Memory Size

6GB

HBM2e

Memory Type

GDDR5

5120bit

Memory Bus

384bit

2039GB/s

Bandwidth

150.3GB/s

Render Config

114

SM Count

14

-

Compute Units

-

14592

Shading Units

448

456

TMUs

56

24

ROPs

48

456

Tensor Cores

-

RT Cores

-

256 KB (per SM)

L1 Cache

64 KB (per SM)

50 MB

L2 Cache

768 KB

Theoretical Performance

42.12 GPixel/s

Pixel Rate

16.07 GPixel/s

800.3 GTexel/s

Texture Rate

32.14 GTexel/s

204.9 TFLOPS

FP16 (half)

-

51.22 TFLOPS

FP32 (float)

1028 GFLOPS

25.61 TFLOPS

FP64 (double)

513.9 GFLOPS

Graphics Processor

GH100

GPU Name

GF100

-

GPU Variant

GF100-876-A1

Hopper

Architecture

Fermi

TSMC

Foundry

TSMC

4 nm

Process Size

40 nm

80 billion

Transistors

3.1 billion

814 mm²

Die Size

529 mm²

Board Design

350W

TDP

225W

750 W

Suggested PSU

550 W

No outputs

Outputs

No outputs

1x 16-pin

Power Connectors

1x 6-pin + 1x 8-pin

Graphics Features

N/A

DirectX

12 (11_0)

N/A

OpenGL

4.6

3.0

OpenCL

1.1

N/A

Vulkan

N/A

9.0

CUDA

2.0

N/A

Shader Model

5.1

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