NVIDIA GRID K160Q vs NVIDIA Tesla K40s

VS

We compared two Professional market GPUs: 1024MB VRAM GRID K160Q and 12GB VRAM Tesla K40s to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA GRID K160Q 's Advantages

Lower TDP (130W vs 245W)

NVIDIA Tesla K40s 's Advantages

Boost Clock876MHz

More VRAM (12GB vs 1GB)

Larger VRAM bandwidth (288.4GB/s vs 28.51GB/s)

2688 additional rendering cores

Score

Benchmark

FP32 (float)

GRID K160Q

0.326 TFLOPS

Tesla K40s +1447%

5.046 TFLOPS

GRID K160Q

VS

Tesla K40s

Graphics Card

Jun 2013

Release Date

Nov 2013

GRID

Generation

Tesla

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

-

Base Clock

745 MHz

-

Boost Clock

876 MHz

891 MHz

Memory Clock

1502 MHz

Memory

1024MB

Memory Size

12GB

DDR3

Memory Type

GDDR5

128bit

Memory Bus

384bit

28.51GB/s

Bandwidth

288.4GB/s

Render Config

-

SM Count

-

Compute Units

-

192

Shading Units

2880

16

TMUs

240

16

ROPs

48

-

Tensor Cores

-

RT Cores

-

16 KB (per SMX)

L1 Cache

16 KB (per SMX)

256 KB

L2 Cache

1536 KB

Theoretical Performance

3.400 GPixel/s

Pixel Rate

52.56 GPixel/s

13.60 GTexel/s

Texture Rate

210.2 GTexel/s

-

FP16 (half)

-

326.4 GFLOPS

FP32 (float)

5.046 TFLOPS

13.60 GFLOPS

FP64 (double)

1.682 TFLOPS

Graphics Processor

GK107

GPU Name

GK110B

-

GPU Variant

-

Kepler

Architecture

Kepler

TSMC

Foundry

TSMC

28 nm

Process Size

28 nm

1.27 billion

Transistors

7.08 billion

118 mm²

Die Size

561 mm²

Board Design

130W

TDP

245W

300 W

Suggested PSU

550 W

No outputs

Outputs

No outputs

-

Power Connectors

-

Graphics Features

12 (11_0)

DirectX

12 (11_1)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.1

Vulkan

1.1

3.0

CUDA

3.5

5.1

Shader Model

5.1

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