NVIDIA H100 SXM5 80 GB vs NVIDIA GRID K240Q

VS

NVIDIA H100 SXM5 80 GB NVIDIA GRID K240Q

AI GPU We compared a GPU: 80GB VRAM H100 SXM5 80 GB and a Professional market GPU: 1024MB VRAM GRID K240Q to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA H100 SXM5 80 GB 's Advantages

Released 9 years and 9 months late

Boost Clock1980MHz

More VRAM (80GB vs 1GB)

Larger VRAM bandwidth (1681GB/s vs 160.0GB/s)

15360 additional rendering cores

NVIDIA GRID K240Q 's Advantages

Lower TDP (225W vs 700W)

Score

Benchmark

FP32 (float)

H100 SXM5 80 GB +2823%

66.91 TFLOPS

GRID K240Q

2.289 TFLOPS

H100 SXM5 80 GB

VS

GRID K240Q

Graphics Card

Mar 2023

Release Date

Jun 2013

Tesla Hopper

Generation

GRID

AI GPU

Type

Professional

PCIe 5.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

1590 MHz

Base Clock

-

1980 MHz

Boost Clock

-

1313 MHz

Memory Clock

1250 MHz

Memory

80GB

Memory Size

1024MB

HBM3

Memory Type

GDDR5

5120bit

Memory Bus

256bit

1681GB/s

Bandwidth

160.0GB/s

Render Config

132

SM Count

-

Compute Units

-

16896

Shading Units

1536

528

TMUs

128

24

ROPs

32

528

Tensor Cores

-

RT Cores

-

256 KB (per SM)

L1 Cache

16 KB (per SMX)

50 MB

L2 Cache

512 KB

Theoretical Performance

47.52 GPixel/s

Pixel Rate

23.84 GPixel/s

1045 GTexel/s

Texture Rate

95.36 GTexel/s

267.6 TFLOPS

FP16 (half)

-

66.91 TFLOPS

FP32 (float)

2.289 TFLOPS

33.45 TFLOPS

FP64 (double)

95.36 GFLOPS

Graphics Processor

GH100

GPU Name

GK104

-

GPU Variant

-

Hopper

Architecture

Kepler

TSMC

Foundry

TSMC

4 nm

Process Size

28 nm

80 billion

Transistors

3.54 billion

814 mm²

Die Size

294 mm²

Board Design

700W

TDP

225W

1100 W

Suggested PSU

550 W

No outputs

Outputs

No outputs

8-pin EPS

Power Connectors

-

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

3.0

N/A

Shader Model

5.1

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