NVIDIA A100 PCIe vs NVIDIA GRID K260Q

VS

AI GPU We compared a GPU: 40GB VRAM A100 PCIe and a Professional market GPU: 2GB VRAM GRID K260Q to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA A100 PCIe 's Advantages

Released 7 years late

Boost Clock1410MHz

More VRAM (40GB vs 2GB)

Larger VRAM bandwidth (1555GB/s vs 160.0GB/s)

5376 additional rendering cores

NVIDIA GRID K260Q 's Advantages

Lower TDP (225W vs 250W)

Score

Benchmark

FP32 (float)

A100 PCIe +751%

19.49 TFLOPS

GRID K260Q

2.289 TFLOPS

A100 PCIe

VS

GRID K260Q

Graphics Card

Jun 2020

Release Date

Jun 2013

Tesla

Generation

GRID

AI GPU

Type

Professional

PCIe 4.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

765 MHz

Base Clock

-

1410 MHz

Boost Clock

-

1215 MHz

Memory Clock

1250 MHz

Memory

40GB

Memory Size

2GB

HBM2e

Memory Type

GDDR5

5120bit

Memory Bus

256bit

1555GB/s

Bandwidth

160.0GB/s

Render Config

108

SM Count

-

Compute Units

-

6912

Shading Units

1536

432

TMUs

128

160

ROPs

32

432

Tensor Cores

-

RT Cores

-

192 KB (per SM)

L1 Cache

16 KB (per SMX)

40 MB

L2 Cache

512 KB

Theoretical Performance

225.6 GPixel/s

Pixel Rate

23.84 GPixel/s

609.1 GTexel/s

Texture Rate

95.36 GTexel/s

77.97 TFLOPS

FP16 (half)

-

19.49 TFLOPS

FP32 (float)

2.289 TFLOPS

9.746 TFLOPS

FP64 (double)

95.36 GFLOPS

Graphics Processor

GA100

GPU Name

GK104

-

GPU Variant

-

Ampere

Architecture

Kepler

TSMC

Foundry

TSMC

7 nm

Process Size

28 nm

54.2 billion

Transistors

3.54 billion

826 mm²

Die Size

294 mm²

Board Design

250W

TDP

225W

600 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

8.0

CUDA

3.0

N/A

Shader Model

5.1

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