NVIDIA Tesla V100 FHHL vs NVIDIA Tesla P40

VS

We compared two Professional market GPUs: 16GB VRAM Tesla V100 FHHL and 24GB VRAM Tesla P40 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 6 months late

Larger VRAM bandwidth (829.4GB/s vs 347.1GB/s)

1280 additional rendering cores

NVIDIA Tesla P40 's Advantages

Boost Clock has increased by 19% (1531MHz vs 1290MHz)

More VRAM (24GB vs 16GB)

Score

Benchmark

FP32 (float)

Tesla V100 FHHL +12%

13.21 TFLOPS

Tesla P40

11.76 TFLOPS

Tesla V100 FHHL

VS

Tesla P40

Graphics Card

Mar 2018

Release Date

Sep 2016

Tesla

Generation

Tesla Pascal

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

937 MHz

Base Clock

1303 MHz

1290 MHz

Boost Clock

1531 MHz

810 MHz

Memory Clock

1808 MHz

Memory

16GB

Memory Size

24GB

HBM2

Memory Type

GDDR5

4096bit

Memory Bus

384bit

829.4GB/s

Bandwidth

347.1GB/s

Render Config

80

SM Count

30

-

Compute Units

-

5120

Shading Units

3840

320

TMUs

240

128

ROPs

96

640

Tensor Cores

-

RT Cores

-

128 KB (per SM)

L1 Cache

48 KB (per SM)

6 MB

L2 Cache

3 MB

Theoretical Performance

165.1 GPixel/s

Pixel Rate

147.0 GPixel/s

412.8 GTexel/s

Texture Rate

367.4 GTexel/s

26.42 TFLOPS

FP16 (half)

183.7 GFLOPS

13.21 TFLOPS

FP32 (float)

11.76 TFLOPS

6.605 TFLOPS

FP64 (double)

367.4 GFLOPS

Graphics Processor

GV100

GPU Name

GP102

-

GPU Variant

-

Volta

Architecture

Pascal

TSMC

Foundry

TSMC

12 nm

Process Size

16 nm

21.1 billion

Transistors

11.8 billion

815 mm²

Die Size

471 mm²

Board Design

250W

TDP

250W

600 W

Suggested PSU

600 W

No outputs

Outputs

No outputs

1x 8-pin

Power Connectors

8-pin EPS

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

6.7

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