NVIDIA Tesla V100 FHHL vs NVIDIA Quadro GP100

VS

NVIDIA Tesla V100 FHHL NVIDIA Quadro GP100

We compared two Professional market GPUs: 16GB VRAM Tesla V100 FHHL and 16GB VRAM Quadro GP100 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 5 months late

Larger VRAM bandwidth (829.4GB/s vs 732.2GB/s)

1536 additional rendering cores

NVIDIA Quadro GP100 's Advantages

Boost Clock has increased by 12% (1442MHz vs 1290MHz)

Lower TDP (235W vs 250W)

Score

Benchmark

FP32 (float)

Tesla V100 FHHL +27%

13.21 TFLOPS

Quadro GP100

10.34 TFLOPS

Tesla V100 FHHL

VS

Quadro GP100

Graphics Card

Mar 2018

Release Date

Oct 2016

Tesla

Generation

Quadro

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

937 MHz

Base Clock

1304 MHz

1290 MHz

Boost Clock

1442 MHz

810 MHz

Memory Clock

715 MHz

Memory

16GB

Memory Size

16GB

HBM2

Memory Type

HBM2

4096bit

Memory Bus

4096bit

829.4GB/s

Bandwidth

732.2GB/s

Render Config

80

SM Count

56

-

Compute Units

-

5120

Shading Units

3584

320

TMUs

224

128

ROPs

96

640

Tensor Cores

-

RT Cores

-

128 KB (per SM)

L1 Cache

24 KB (per SM)

6 MB

L2 Cache

4 MB

Theoretical Performance

165.1 GPixel/s

Pixel Rate

138.4 GPixel/s

412.8 GTexel/s

Texture Rate

323.0 GTexel/s

26.42 TFLOPS

FP16 (half)

20.67 TFLOPS

13.21 TFLOPS

FP32 (float)

10.34 TFLOPS

6.605 TFLOPS

FP64 (double)

5.168 TFLOPS

Graphics Processor

GV100

GPU Name

GP100

-

GPU Variant

-

Volta

Architecture

Pascal

TSMC

Foundry

TSMC

12 nm

Process Size

16 nm

21.1 billion

Transistors

15.3 billion

815 mm²

Die Size

610 mm²

Board Design

250W

TDP

235W

600 W

Suggested PSU

550 W

No outputs

Outputs

1x DVI 4x DisplayPort 1.4a

1x 8-pin

Power Connectors

1x 8-pin

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

6.0

6.6

Shader Model

6.4

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