NVIDIA Tesla K40st vs NVIDIA Quadro P1000

VS

We compared two Professional market GPUs: 12GB VRAM Tesla K40st and 4GB VRAM Quadro P1000 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 4GB)

Larger VRAM bandwidth (288.4GB/s vs 80.19GB/s)

2240 additional rendering cores

NVIDIA Quadro P1000 's Advantages

Released 3 years and 3 months late

Boost Clock1480MHz

Lower TDP (47W vs 245W)

Score

Benchmark

FP32 (float)

Tesla K40st +74%

3.312 TFLOPS

Quadro P1000

1.894 TFLOPS

Tesla K40st

VS

Quadro P1000

Graphics Card

Nov 2013

Release Date

Feb 2017

Tesla

Generation

Quadro

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

-

Base Clock

1266 MHz

-

Boost Clock

1480 MHz

1502 MHz

Memory Clock

1253 MHz

Memory

12GB

Memory Size

4GB

GDDR5

Memory Type

GDDR5

384bit

Memory Bus

128bit

288.4GB/s

Bandwidth

80.19GB/s

Render Config

-

SM Count

5

-

Compute Units

-

2880

Shading Units

640

240

TMUs

40

48

ROPs

32

-

Tensor Cores

-

RT Cores

-

16 KB (per SMX)

L1 Cache

48 KB (per SM)

1536 KB

L2 Cache

1024 KB

Theoretical Performance

34.50 GPixel/s

Pixel Rate

47.36 GPixel/s

138.0 GTexel/s

Texture Rate

59.20 GTexel/s

-

FP16 (half)

29.60 GFLOPS

3.312 TFLOPS

FP32 (float)

1.894 TFLOPS

1104 GFLOPS

FP64 (double)

59.20 GFLOPS

Graphics Processor

GK110B

GPU Name

GP107

-

GPU Variant

GP107-860-A1

Kepler

Architecture

Pascal

TSMC

Foundry

Samsung

28 nm

Process Size

14 nm

7.08 billion

Transistors

3.3 billion

561 mm²

Die Size

132 mm²

Board Design

245W

TDP

47W

550 W

Suggested PSU

200 W

No outputs

Outputs

4x mini-DisplayPort 1.4a

-

Power Connectors

None

Graphics Features

12 (11_1)

DirectX

12 (12_1)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.1

Vulkan

1.3

3.5

CUDA

6.1

5.1

Shader Model

6.4

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