NVIDIA Tesla V100 DGXS 32 GB vs NVIDIA Quadro P2000 Mobile

VS

NVIDIA Tesla V100 DGXS 32 GB

NVIDIA Quadro P2000 Mobile

We compared two Professional market GPUs: 32GB VRAM Tesla V100 DGXS 32 GB and 0GB VRAM Quadro P2000 Mobile to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla V100 DGXS 32 GB 's Advantages

Boost Clock has increased by 19% (1530MHz vs 1291MHz)

Larger VRAM bandwidth (897.0GB/s vs 96.13GB/s)

3968 additional rendering cores

NVIDIA Quadro P2000 Mobile 's Advantages

Released 11 months late

Lower TDP (75W vs 250W)

Score

Benchmark

FP32 (float)

Tesla V100 DGXS 32 GB +426%

15.67 TFLOPS

Quadro P2000 Mobile

2.974 TFLOPS

Tesla V100 DGXS 32 GB

VS

Quadro P2000 Mobile

Graphics Card

Mar 2018

Release Date

Feb 2019

Tesla

Generation

Quadro Mobile

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

1297 MHz

Base Clock

1291 MHz

1530 MHz

Boost Clock

1291 MHz

876 MHz

Memory Clock

1502 MHz

Memory

32GB

Memory Size

GB

HBM2

Memory Type

GDDR5

4096bit

Memory Bus

128bit

897.0GB/s

Bandwidth

96.13GB/s

Render Config

-

80

SM Count

9

5120

Shading Units

1152

320

TMUs

72

128

ROPs

32

640

Tensor Cores

-

128 KB (per SM)

L1 Cache

48 KB (per SM)

6 MB

L2 Cache

1280 KB

-

Theoretical Performance

195.8 GPixel/s

Pixel Rate

41.31 GPixel/s

489.6 GTexel/s

Texture Rate

92.95 GTexel/s

31.33 TFLOPS

FP16 (half)

46.48 GFLOPS

15.67 TFLOPS

FP32 (float)

2.974 TFLOPS

7.834 TFLOPS

FP64 (double)

92.95 GFLOPS

Board Design

250W

TDP

75W

600 W

Suggested PSU

-

No outputs

Outputs

No outputs

None

Power Connectors

None

Graphics Processor

GV100

GPU Name

GP106

-

Volta

Architecture

Pascal

TSMC

Foundry

TSMC

12 nm

Process Size

16 nm

21.1 billion

Transistors

4.4 billion

815 mm²

Die Size

200 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

7.0

CUDA

6.1

6.6

Shader Model

6.4

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