NVIDIA Quadro GP100 vs NVIDIA Tesla K20c

VS

NVIDIA Quadro GP100

NVIDIA Tesla K20c

We compared two Professional market GPUs: 16GB VRAM Quadro GP100 and 5GB VRAM Tesla K20c to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Quadro GP100 's Advantages

Released 3 years and 11 months late

Boost Clock1442MHz

More VRAM (16GB vs 5GB)

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

1088 additional rendering cores

NVIDIA Tesla K20c 's Advantages

Lower TDP (225W vs 235W)

Score

Benchmark

FP32 (float)

Quadro GP100 +193%

10.34 TFLOPS

Tesla K20c

3.524 TFLOPS

OctaneBench

Quadro GP100 +336%

240

Tesla K20c

55

Quadro GP100

VS

Tesla K20c

Graphics Card

Oct 2016

Release Date

Nov 2012

Quadro

Generation

Tesla

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 2.0 x16

Clock Speeds

1304 MHz

Base Clock

-

1442 MHz

Boost Clock

-

715 MHz

Memory Clock

1300 MHz

Memory

16GB

Memory Size

5GB

HBM2

Memory Type

GDDR5

4096bit

Memory Bus

320bit

732.2GB/s

Bandwidth

208.0GB/s

Render Config

-

56

SM Count

-

3584

Shading Units

2496

224

TMUs

208

96

ROPs

40

-

24 KB (per SM)

L1 Cache

16 KB (per SMX)

4 MB

L2 Cache

1280 KB

-

Theoretical Performance

138.4 GPixel/s

Pixel Rate

36.71 GPixel/s

323.0 GTexel/s

Texture Rate

146.8 GTexel/s

20.67 TFLOPS

FP16 (half)

-

10.34 TFLOPS

FP32 (float)

3.524 TFLOPS

5.168 TFLOPS

FP64 (double)

1175 GFLOPS

Board Design

235W

TDP

225W

550 W

Suggested PSU

550 W

1x DVI 4x DisplayPort 1.4a

Outputs

No outputs

1x 8-pin

Power Connectors

1x 6-pin + 1x 8-pin

Graphics Processor

GP100

GPU Name

GK110

-

GPU Variant

GK110-885-KA-A1

Pascal

Architecture

Kepler

TSMC

Foundry

TSMC

16 nm

Process Size

28 nm

15.3 billion

Transistors

7.08 billion

610 mm²

Die Size

561 mm²

Graphics Features

12 (12_1)

DirectX

12 (11_0)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.3

Vulkan

1.1

6.0

CUDA

3.5

6.4

Shader Model

5.1

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