NVIDIA Tesla K20Xm vs NVIDIA GRID K160Q

VS

NVIDIA Tesla K20Xm

NVIDIA GRID K160Q

We compared two Professional market GPUs: 6GB VRAM Tesla K20Xm and 1024MB VRAM GRID K160Q to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla K20Xm 's Advantages

More VRAM (6GB vs 1024GB)

Larger VRAM bandwidth (249.6GB/s vs 28.51GB/s)

2496 additional rendering cores

NVIDIA GRID K160Q 's Advantages

Released 7 months late

Lower TDP (130W vs 235W)

Score

Benchmark

FP32 (float)

Tesla K20Xm +1107%

3.935 TFLOPS

GRID K160Q

0.326 TFLOPS

Tesla K20Xm

VS

GRID K160Q

Graphics Card

Nov 2012

Release Date

Jun 2013

Tesla

Generation

GRID

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

-

1300 MHz

Memory Clock

891 MHz

Memory

6GB

Memory Size

1024MB

GDDR5

Memory Type

DDR3

384bit

Memory Bus

128bit

249.6GB/s

Bandwidth

28.51GB/s

Render Config

-

2688

Shading Units

192

224

TMUs

16

48

ROPs

16

-

16 KB (per SMX)

L1 Cache

16 KB (per SMX)

1536 KB

L2 Cache

256 KB

-

Theoretical Performance

40.99 GPixel/s

Pixel Rate

3.400 GPixel/s

164.0 GTexel/s

Texture Rate

13.60 GTexel/s

-

3.935 TFLOPS

FP32 (float)

326.4 GFLOPS

1312 GFLOPS

FP64 (double)

13.60 GFLOPS

Board Design

235W

TDP

130W

550 W

Suggested PSU

300 W

No outputs

Outputs

No outputs

-

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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