NVIDIA Tesla K20m vs NVIDIA GRID K160Q

VS

NVIDIA Tesla K20m

NVIDIA GRID K160Q

We compared two Professional market GPUs: 5GB VRAM Tesla K20m and 1024MB VRAM GRID K160Q to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla K20m 's Advantages

More VRAM (5GB vs 1024GB)

Larger VRAM bandwidth (208.0GB/s vs 28.51GB/s)

2304 additional rendering cores

NVIDIA GRID K160Q 's Advantages

Lower TDP (130W vs 225W)

Score

Benchmark

FP32 (float)

Tesla K20m +980%

3.524 TFLOPS

GRID K160Q

0.326 TFLOPS

Tesla K20m

VS

GRID K160Q

Graphics Card

Jan 2013

Release Date

Jun 2013

Tesla

Generation

GRID

Professional

Type

Professional

PCIe 2.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

-

1300 MHz

Memory Clock

891 MHz

Memory

5GB

Memory Size

1024MB

GDDR5

Memory Type

DDR3

320bit

Memory Bus

128bit

208.0GB/s

Bandwidth

28.51GB/s

Render Config

-

2496

Shading Units

192

208

TMUs

16

40

ROPs

16

-

16 KB (per SMX)

L1 Cache

16 KB (per SMX)

1280 KB

L2 Cache

256 KB

-

Theoretical Performance

36.71 GPixel/s

Pixel Rate

3.400 GPixel/s

146.8 GTexel/s

Texture Rate

13.60 GTexel/s

-

3.524 TFLOPS

FP32 (float)

326.4 GFLOPS

1175 GFLOPS

FP64 (double)

13.60 GFLOPS

Board Design

225W

TDP

130W

550 W

Suggested PSU

300 W

No outputs

Outputs

No outputs

1x 6-pin + 1x 8-pin

Power Connectors

-

Graphics Processor

GK110

GPU Name

GK107

-

Kepler

Architecture

Kepler

TSMC

Foundry

TSMC

28 nm

Process Size

28 nm

7.08 billion

Transistors

1.27 billion

561 mm²

Die Size

118 mm²

Graphics Features

12 (11_0)

DirectX

12 (11_0)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.1

Vulkan

1.1

3.5

CUDA

3.0

5.1

Shader Model

5.1

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