NVIDIA Quadro GP100 vs NVIDIA Tesla C2090

VS

NVIDIA Quadro GP100

NVIDIA Tesla C2090

We compared two Professional market GPUs: 16GB VRAM Quadro GP100 and 6GB VRAM Tesla C2090 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Quadro GP100 's Advantages

Released 5 years and 3 months late

Boost Clock1442MHz

More VRAM (16GB vs 6GB)

Larger VRAM bandwidth (732.2GB/s vs 177.4GB/s)

3072 additional rendering cores

Lower TDP (235W vs 250W)

Score

Benchmark

FP32 (float)

Quadro GP100 +676%

10.34 TFLOPS

Tesla C2090

1.332 TFLOPS

Quadro GP100

VS

Tesla C2090

Graphics Card

Oct 2016

Release Date

Jul 2011

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

924 MHz

Memory

16GB

Memory Size

6GB

HBM2

Memory Type

GDDR5

4096bit

Memory Bus

384bit

732.2GB/s

Bandwidth

177.4GB/s

Render Config

-

56

SM Count

16

3584

Shading Units

512

224

TMUs

64

96

ROPs

48

-

24 KB (per SM)

L1 Cache

64 KB (per SM)

4 MB

L2 Cache

768 KB

-

Theoretical Performance

138.4 GPixel/s

Pixel Rate

20.83 GPixel/s

323.0 GTexel/s

Texture Rate

41.66 GTexel/s

20.67 TFLOPS

FP16 (half)

-

10.34 TFLOPS

FP32 (float)

1332 GFLOPS

5.168 TFLOPS

FP64 (double)

666.1 GFLOPS

Board Design

235W

TDP

250W

550 W

Suggested PSU

600 W

1x DVI 4x DisplayPort 1.4a

Outputs

No outputs

1x 8-pin

Power Connectors

-

Graphics Processor

GP100

GPU Name

GF110

-

Pascal

Architecture

Fermi 2.0

TSMC

Foundry

TSMC

16 nm

Process Size

40 nm

15.3 billion

Transistors

3 billion

610 mm²

Die Size

520 mm²

Graphics Features

12 (12_1)

DirectX

12 (11_0)

4.6

OpenGL

4.6

3.0

OpenCL

1.1

1.3

Vulkan

N/A

6.0

CUDA

2.0

6.4

Shader Model

5.1

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