NVIDIA Quadro P1000 vs NVIDIA Tesla V100 FHHL

VS

NVIDIA Quadro P1000

NVIDIA Tesla V100 FHHL

We compared two Professional market GPUs: 4GB VRAM Quadro P1000 and 16GB VRAM Tesla V100 FHHL to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Quadro P1000 's Advantages

Boost Clock has increased by 15% (1480MHz vs 1290MHz)

Lower TDP (47W vs 250W)

NVIDIA Tesla V100 FHHL 's Advantages

Released 1 years and 1 months late

More VRAM (16GB vs 4GB)

Larger VRAM bandwidth (829.4GB/s vs 80.19GB/s)

4480 additional rendering cores

Score

Benchmark

FP32 (float)

Quadro P1000

1.894 TFLOPS

Tesla V100 FHHL +597%

13.21 TFLOPS

Quadro P1000

VS

Tesla V100 FHHL

Graphics Card

Feb 2017

Release Date

Mar 2018

Quadro

Generation

Tesla

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

1266 MHz

Base Clock

937 MHz

1480 MHz

Boost Clock

1290 MHz

1253 MHz

Memory Clock

810 MHz

Memory

4GB

Memory Size

16GB

GDDR5

Memory Type

HBM2

128bit

Memory Bus

4096bit

80.19GB/s

Bandwidth

829.4GB/s

Render Config

-

5

SM Count

80

640

Shading Units

5120

40

TMUs

320

32

ROPs

128

-

Tensor Cores

640

-

48 KB (per SM)

L1 Cache

128 KB (per SM)

1024 KB

L2 Cache

6 MB

-

Theoretical Performance

47.36 GPixel/s

Pixel Rate

165.1 GPixel/s

59.20 GTexel/s

Texture Rate

412.8 GTexel/s

29.60 GFLOPS

FP16 (half)

26.42 TFLOPS

1.894 TFLOPS

FP32 (float)

13.21 TFLOPS

59.20 GFLOPS

FP64 (double)

6.605 TFLOPS

Board Design

47W

TDP

250W

200 W

Suggested PSU

600 W

4x mini-DisplayPort 1.4a

Outputs

No outputs

None

Power Connectors

1x 8-pin

Graphics Processor

GP107

GPU Name

GV100

GP107-860-A1

GPU Variant

-

Pascal

Architecture

Volta

Samsung

Foundry

TSMC

14 nm

Process Size

12 nm

3.3 billion

Transistors

21.1 billion

132 mm²

Die Size

815 mm²

Graphics Features

12 (12_1)

DirectX

12 (12_1)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.3

Vulkan

1.3

6.1

CUDA

7.0

6.4

Shader Model

6.6

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