NVIDIA H800 SXM5 vs NVIDIA Tesla K20X

VS

AI GPU We compared a GPU: 80GB VRAM H800 SXM5 and a Professional market GPU: 6GB VRAM Tesla K20X to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA H800 SXM5 's Advantages

Released 10 years and 4 months late

Boost Clock1755MHz

More VRAM (80GB vs 6GB)

Larger VRAM bandwidth (1681GB/s vs 249.6GB/s)

14208 additional rendering cores

NVIDIA Tesla K20X 's Advantages

Lower TDP (235W vs 700W)

Score

Benchmark

FP32 (float)

H800 SXM5 +1406%

59.3 TFLOPS

Tesla K20X

3.935 TFLOPS

H800 SXM5

VS

Tesla K20X

Graphics Card

Mar 2023

Release Date

Nov 2012

Tesla Hopper

Generation

Tesla

AI GPU

Type

Professional

PCIe 5.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

1095 MHz

Base Clock

-

1755 MHz

Boost Clock

-

1313 MHz

Memory Clock

1300 MHz

Memory

80GB

Memory Size

6GB

HBM3

Memory Type

GDDR5

5120bit

Memory Bus

384bit

1681GB/s

Bandwidth

249.6GB/s

Render Config

132

SM Count

-

Compute Units

-

16896

Shading Units

2688

528

TMUs

224

24

ROPs

48

528

Tensor Cores

-

RT Cores

-

256 KB (per SM)

L1 Cache

16 KB (per SMX)

50 MB

L2 Cache

1536 KB

Theoretical Performance

42.12 GPixel/s

Pixel Rate

40.99 GPixel/s

926.6 GTexel/s

Texture Rate

164.0 GTexel/s

237.2 TFLOPS

FP16 (half)

-

59.30 TFLOPS

FP32 (float)

3.935 TFLOPS

29.65 TFLOPS

FP64 (double)

1312 GFLOPS

Graphics Processor

GH100

GPU Name

GK110

-

GPU Variant

-

Hopper

Architecture

Kepler

TSMC

Foundry

TSMC

4 nm

Process Size

28 nm

80 billion

Transistors

7.08 billion

814 mm²

Die Size

561 mm²

Board Design

700W

TDP

235W

1100 W

Suggested PSU

550 W

No outputs

Outputs

No outputs

8-pin EPS

Power Connectors

1x 6-pin + 1x 8-pin

Graphics Features

N/A

DirectX

12 (11_0)

N/A

OpenGL

4.6

3.0

OpenCL

3.0

N/A

Vulkan

1.1

9.0

CUDA

3.5

N/A

Shader Model

5.1

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