NVIDIA GRID K160Q vs NVIDIA Tesla K8

VS

NVIDIA GRID K160Q

NVIDIA Tesla K8

We compared two Professional market GPUs: 1024MB VRAM GRID K160Q and 8GB VRAM Tesla K8 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla K8 's Advantages

Released 1 years and 3 months late

Boost Clock811MHz

More VRAM (8GB vs 1024GB)

Larger VRAM bandwidth (160.0GB/s vs 28.51GB/s)

1344 additional rendering cores

Lower TDP (100W vs 130W)

Score

Benchmark

FP32 (float)

GRID K160Q

0.326 TFLOPS

Tesla K8 +664%

2.491 TFLOPS

GRID K160Q

VS

Tesla K8

Graphics Card

Jun 2013

Release Date

Sep 2014

GRID

Generation

Tesla

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 2.0 x16

Clock Speeds

-

Base Clock

693 MHz

-

Boost Clock

811 MHz

891 MHz

Memory Clock

1250 MHz

Memory

1024MB

Memory Size

8GB

DDR3

Memory Type

GDDR5

128bit

Memory Bus

256bit

28.51GB/s

Bandwidth

160.0GB/s

Render Config

-

192

Shading Units

1536

16

TMUs

128

16

ROPs

32

-

16 KB (per SMX)

L1 Cache

16 KB (per SMX)

256 KB

L2 Cache

512 KB

-

Theoretical Performance

3.400 GPixel/s

Pixel Rate

25.95 GPixel/s

13.60 GTexel/s

Texture Rate

103.8 GTexel/s

-

326.4 GFLOPS

FP32 (float)

2.491 TFLOPS

13.60 GFLOPS

FP64 (double)

103.8 GFLOPS

Board Design

130W

TDP

100W

300 W

Suggested PSU

300 W

No outputs

Outputs

No outputs

-

Power Connectors

1x 6-pin

Graphics Processor

GK107

GPU Name

GK104

-

Kepler

Architecture

Kepler

TSMC

Foundry

TSMC

28 nm

Process Size

28 nm

1.27 billion

Transistors

3.54 billion

118 mm²

Die Size

294 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

3.0

CUDA

3.0

5.1

Shader Model

5.1

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