NVIDIA Tesla K20m vs NVIDIA H800 SXM5

VS

AI GPU We compared a Professional market GPU: 5GB VRAM Tesla K20m and a GPU: 80GB VRAM H800 SXM5 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla K20m 's Advantages

Lower TDP (225W vs 700W)

NVIDIA H800 SXM5 's Advantages

Released 10 years and 2 months late

Boost Clock1755MHz

More VRAM (80GB vs 5GB)

Larger VRAM bandwidth (1681GB/s vs 208.0GB/s)

14400 additional rendering cores

Score

Benchmark

FP32 (float)

Tesla K20m

3.524 TFLOPS

H800 SXM5 +1582%

59.3 TFLOPS

Tesla K20m

VS

H800 SXM5

Graphics Card

Jan 2013

Release Date

Mar 2023

Tesla

Generation

Tesla Hopper

Professional

Type

AI GPU

PCIe 2.0 x16

Bus Interface

PCIe 5.0 x16

Clock Speeds

-

Base Clock

1095 MHz

-

Boost Clock

1755 MHz

1300 MHz

Memory Clock

1313 MHz

Memory

5GB

Memory Size

80GB

GDDR5

Memory Type

HBM3

320bit

Memory Bus

5120bit

208.0GB/s

Bandwidth

1681GB/s

Render Config

-

SM Count

132

-

Compute Units

-

2496

Shading Units

16896

208

TMUs

528

40

ROPs

24

-

Tensor Cores

528

-

RT Cores

-

16 KB (per SMX)

L1 Cache

256 KB (per SM)

1280 KB

L2 Cache

50 MB

Theoretical Performance

36.71 GPixel/s

Pixel Rate

42.12 GPixel/s

146.8 GTexel/s

Texture Rate

926.6 GTexel/s

-

FP16 (half)

237.2 TFLOPS

3.524 TFLOPS

FP32 (float)

59.30 TFLOPS

1175 GFLOPS

FP64 (double)

29.65 TFLOPS

Graphics Processor

GK110

GPU Name

GH100

-

GPU Variant

-

Kepler

Architecture

Hopper

TSMC

Foundry

TSMC

28 nm

Process Size

4 nm

7.08 billion

Transistors

80 billion

561 mm²

Die Size

814 mm²

Board Design

225W

TDP

700W

550 W

Suggested PSU

1100 W

No outputs

Outputs

No outputs

1x 6-pin + 1x 8-pin

Power Connectors

8-pin EPS

Graphics Features

12 (11_0)

DirectX

N/A

4.6

OpenGL

N/A

3.0

OpenCL

3.0

1.1

Vulkan

N/A

3.5

CUDA

9.0

5.1

Shader Model

N/A

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