NVIDIA Tesla K8 vs H200 SXM

VS

NVIDIA Tesla K8 H200 SXM

AI GPU We compared a Professional market GPU: 8GB VRAM Tesla K8 and a GPU: 141GB VRAM H200 SXM to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla K8 's Advantages

Lower TDP (100W vs 700W)

H200 SXM 's Advantages

Released 9 years and 2 months late

Boost Clock has increased by 144% (1980MHz vs 811MHz)

More VRAM (141GB vs 8GB)

Larger VRAM bandwidth (4800GB/s vs 160.0GB/s)

15360 additional rendering cores

Score

Benchmark

FP32 (float)

Tesla K8

2.491 TFLOPS

H200 SXM +2589%

67 TFLOPS

Tesla K8

VS

H200 SXM

Graphics Card

Sep 2014

Release Date

Nov 2023

Tesla

Generation

Hopper

Professional

Type

AI GPU

PCIe 2.0 x16

Bus Interface

PCIe 5.0 x16

Clock Speeds

693 MHz

Base Clock

1590 MHz

811 MHz

Boost Clock

1980 MHz

1250 MHz

Memory Clock

1313 MHz

Memory

8GB

Memory Size

141GB

GDDR5

Memory Type

HBM3e

256bit

Memory Bus

5120bit

160.0GB/s

Bandwidth

4800GB/s

Render Config

-

SM Count

132

-

Compute Units

-

1536

Shading Units

16896

128

TMUs

528

32

ROPs

24

-

Tensor Cores

528

-

RT Cores

-

16 KB (per SMX)

L1 Cache

256 KB (per SM)

512 KB

L2 Cache

50 MB

Theoretical Performance

25.95 GPixel/s

Pixel Rate

47.52 GPixel/s

103.8 GTexel/s

Texture Rate

1045 GTexel/s

-

FP16 (half)

1979 TFLOPS

2.491 TFLOPS

FP32 (float)

67 TFLOPS

103.8 GFLOPS

FP64 (double)

34 TFLOPS

Graphics Processor

GK104

GPU Name

GH200

-

GPU Variant

-

Kepler

Architecture

Hopper

TSMC

Foundry

TSMC

28 nm

Process Size

4 nm

3.54 billion

Transistors

80 billion

294 mm²

Die Size

814 mm²

Board Design

100W

TDP

700W

300 W

Suggested PSU

1100 W

No outputs

Outputs

No outputs

1x 6-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

3.0

CUDA

9.0

5.1

Shader Model

N/A

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