NVIDIA Tesla K8 vs NVIDIA Quadro GP100

VS

NVIDIA Tesla K8

NVIDIA Quadro GP100

We compared two Professional market GPUs: 8GB VRAM Tesla K8 and 16GB VRAM Quadro GP100 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla K8 's Advantages

Lower TDP (100W vs 235W)

NVIDIA Quadro GP100 's Advantages

Released 2 years and 1 months late

Boost Clock has increased by 78% (1442MHz vs 811MHz)

More VRAM (16GB vs 8GB)

Larger VRAM bandwidth (732.2GB/s vs 160.0GB/s)

2048 additional rendering cores

Score

Benchmark

FP32 (float)

Tesla K8

2.491 TFLOPS

Quadro GP100 +315%

10.34 TFLOPS

Tesla K8

VS

Quadro GP100

Graphics Card

Sep 2014

Release Date

Oct 2016

Tesla

Generation

Quadro

Professional

Type

Professional

PCIe 2.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

693 MHz

Base Clock

1304 MHz

811 MHz

Boost Clock

1442 MHz

1250 MHz

Memory Clock

715 MHz

Memory

8GB

Memory Size

16GB

GDDR5

Memory Type

HBM2

256bit

Memory Bus

4096bit

160.0GB/s

Bandwidth

732.2GB/s

Render Config

-

SM Count

56

1536

Shading Units

3584

128

TMUs

224

32

ROPs

96

-

16 KB (per SMX)

L1 Cache

24 KB (per SM)

512 KB

L2 Cache

4 MB

-

Theoretical Performance

25.95 GPixel/s

Pixel Rate

138.4 GPixel/s

103.8 GTexel/s

Texture Rate

323.0 GTexel/s

-

FP16 (half)

20.67 TFLOPS

2.491 TFLOPS

FP32 (float)

10.34 TFLOPS

103.8 GFLOPS

FP64 (double)

5.168 TFLOPS

Board Design

100W

TDP

235W

300 W

Suggested PSU

550 W

No outputs

Outputs

1x DVI 4x DisplayPort 1.4a

1x 6-pin

Power Connectors

1x 8-pin

Graphics Processor

GK104

GPU Name

GP100

-

Kepler

Architecture

Pascal

TSMC

Foundry

TSMC

28 nm

Process Size

16 nm

3.54 billion

Transistors

15.3 billion

294 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

3.0

CUDA

6.0

5.1

Shader Model

6.4

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