NVIDIA Tesla K20s vs NVIDIA Quadro GP100

VS

NVIDIA Tesla K20s

NVIDIA Quadro GP100

We compared two Professional market GPUs: 5GB VRAM Tesla K20s and 16GB VRAM Quadro GP100 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla K20s 's Advantages

Lower TDP (225W vs 235W)

NVIDIA Quadro GP100 's Advantages

Released 3 years and 8 months late

Boost Clock1442MHz

More VRAM (16GB vs 5GB)

Larger VRAM bandwidth (732.2GB/s vs 208.0GB/s)

1088 additional rendering cores

Score

Benchmark

FP32 (float)

Tesla K20s

2.87 TFLOPS

Quadro GP100 +260%

10.34 TFLOPS

Tesla K20s

VS

Quadro GP100

Graphics Card

Feb 2013

Release Date

Oct 2016

Tesla

Generation

Quadro

Professional

Type

Professional

PCIe 2.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

-

Base Clock

1304 MHz

-

Boost Clock

1442 MHz

1300 MHz

Memory Clock

715 MHz

Memory

5GB

Memory Size

16GB

GDDR5

Memory Type

HBM2

320bit

Memory Bus

4096bit

208.0GB/s

Bandwidth

732.2GB/s

Render Config

-

SM Count

56

2496

Shading Units

3584

208

TMUs

224

40

ROPs

96

-

16 KB (per SMX)

L1 Cache

24 KB (per SM)

1280 KB

L2 Cache

4 MB

-

Theoretical Performance

29.90 GPixel/s

Pixel Rate

138.4 GPixel/s

119.6 GTexel/s

Texture Rate

323.0 GTexel/s

-

FP16 (half)

20.67 TFLOPS

2.870 TFLOPS

FP32 (float)

10.34 TFLOPS

956.8 GFLOPS

FP64 (double)

5.168 TFLOPS

Board Design

225W

TDP

235W

550 W

Suggested PSU

550 W

No outputs

Outputs

1x DVI 4x DisplayPort 1.4a

-

Power Connectors

1x 8-pin

Graphics Processor

GK110

GPU Name

GP100

-

Kepler

Architecture

Pascal

TSMC

Foundry

TSMC

28 nm

Process Size

16 nm

7.08 billion

Transistors

15.3 billion

561 mm²

Die Size

610 mm²

Graphics Features

12 (11_0)

DirectX

12 (12_1)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.1

Vulkan

1.3

3.5

CUDA

6.0

5.1

Shader Model

6.4

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