NVIDIA Tesla V100 FHHL vs NVIDIA Quadro P5000 Mobile

VS

NVIDIA Tesla V100 FHHL

NVIDIA Quadro P5000 Mobile

We compared two Professional market GPUs: 16GB VRAM Tesla V100 FHHL and 16GB VRAM Quadro P5000 Mobile to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla V100 FHHL 's Advantages

Released 1 years and 2 months late

Larger VRAM bandwidth (829.4GB/s vs 192.3GB/s)

3072 additional rendering cores

NVIDIA Quadro P5000 Mobile 's Advantages

Boost Clock has increased by 23% (1582MHz vs 1290MHz)

Lower TDP (100W vs 250W)

Score

Benchmark

FP32 (float)

Tesla V100 FHHL +103%

13.21 TFLOPS

Quadro P5000 Mobile

6.48 TFLOPS

Tesla V100 FHHL

VS

Quadro P5000 Mobile

Graphics Card

Mar 2018

Release Date

Jan 2017

Tesla

Generation

Quadro Mobile

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

MXM-B (3.0)

Clock Speeds

937 MHz

Base Clock

1278 MHz

1290 MHz

Boost Clock

1582 MHz

810 MHz

Memory Clock

1502 MHz

Memory

16GB

Memory Size

16GB

HBM2

Memory Type

GDDR5

4096bit

Memory Bus

256bit

829.4GB/s

Bandwidth

192.3GB/s

Render Config

-

80

SM Count

16

5120

Shading Units

2048

320

TMUs

128

ROPs

64

640

Tensor Cores

-

128 KB (per SM)

L1 Cache

48 KB (per SM)

6 MB

L2 Cache

2 MB

-

Theoretical Performance

165.1 GPixel/s

Pixel Rate

101.2 GPixel/s

412.8 GTexel/s

Texture Rate

202.5 GTexel/s

26.42 TFLOPS

FP16 (half)

101.2 GFLOPS

13.21 TFLOPS

FP32 (float)

6.480 TFLOPS

6.605 TFLOPS

FP64 (double)

202.5 GFLOPS

Board Design

250W

TDP

100W

600 W

Suggested PSU

-

No outputs

Outputs

No outputs

1x 8-pin

Power Connectors

None

Graphics Processor

GV100

GPU Name

GP104

-

GPU Variant

N17E-Q5-A1

Volta

Architecture

Pascal

TSMC

Foundry

TSMC

12 nm

Process Size

16 nm

21.1 billion

Transistors

7.2 billion

815 mm²

Die Size

314 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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