NVIDIA Tesla K40st vs NVIDIA GRID K160Q

VS

We compared two Professional market GPUs: 12GB VRAM Tesla K40st and 1024MB VRAM GRID K160Q to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla K40st 's Advantages

More VRAM (12GB vs 1GB)

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

2688 additional rendering cores

NVIDIA GRID K160Q 's Advantages

Lower TDP (130W vs 245W)

Score

Benchmark

FP32 (float)

Tesla K40st +915%

3.312 TFLOPS

GRID K160Q

0.326 TFLOPS

Tesla K40st

VS

GRID K160Q

Graphics Card

Nov 2013

Release Date

Jun 2013

Tesla

Generation

GRID

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

-

Base Clock

-

Boost Clock

-

1502 MHz

Memory Clock

891 MHz

Memory

12GB

Memory Size

1024MB

GDDR5

Memory Type

DDR3

384bit

Memory Bus

128bit

288.4GB/s

Bandwidth

28.51GB/s

Render Config

-

SM Count

-

Compute Units

-

2880

Shading Units

192

240

TMUs

16

48

ROPs

16

-

Tensor Cores

-

RT Cores

-

16 KB (per SMX)

L1 Cache

16 KB (per SMX)

1536 KB

L2 Cache

256 KB

Theoretical Performance

34.50 GPixel/s

Pixel Rate

3.400 GPixel/s

138.0 GTexel/s

Texture Rate

13.60 GTexel/s

-

FP16 (half)

-

3.312 TFLOPS

FP32 (float)

326.4 GFLOPS

1104 GFLOPS

FP64 (double)

13.60 GFLOPS

Graphics Processor

GK110B

GPU Name

GK107

-

GPU Variant

-

Kepler

Architecture

Kepler

TSMC

Foundry

TSMC

28 nm

Process Size

28 nm

7.08 billion

Transistors

1.27 billion

561 mm²

Die Size

118 mm²

Board Design

245W

TDP

130W

550 W

Suggested PSU

300 W

No outputs

Outputs

No outputs

-

Power Connectors

-

Graphics Features

12 (11_1)

DirectX

12 (11_0)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.1

Vulkan

1.1

3.5

CUDA

3.0

5.1

Shader Model

5.1

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