NVIDIA Quadro 5000M vs NVIDIA Tesla V100 FHHL

VS

NVIDIA Quadro 5000M

NVIDIA Tesla V100 FHHL

We compared two Professional market GPUs: 1792MB VRAM Quadro 5000M 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 5000M 's Advantages

Lower TDP (100W vs 250W)

NVIDIA Tesla V100 FHHL 's Advantages

Released 7 years and 8 months late

Boost Clock1290MHz

More VRAM (16GB vs 1792GB)

Larger VRAM bandwidth (829.4GB/s vs 76.80GB/s)

4800 additional rendering cores

Score

Benchmark

FP32 (float)

Quadro 5000M

0.518 TFLOPS

Tesla V100 FHHL +2450%

13.21 TFLOPS

Quadro 5000M

VS

Tesla V100 FHHL

Graphics Card

Jul 2010

Release Date

Mar 2018

Quadro Mobile

Generation

Tesla

Professional

Type

Professional

MXM-B (3.0)

Bus Interface

PCIe 3.0 x16

Clock Speeds

-

Base Clock

937 MHz

-

Boost Clock

1290 MHz

600 MHz

Memory Clock

810 MHz

Memory

1792MB

Memory Size

16GB

GDDR5

Memory Type

HBM2

256bit

Memory Bus

4096bit

76.80GB/s

Bandwidth

829.4GB/s

Render Config

-

10

SM Count

80

320

Shading Units

5120

40

TMUs

320

32

ROPs

128

-

Tensor Cores

640

-

64 KB (per SM)

L1 Cache

128 KB (per SM)

512 KB

L2 Cache

6 MB

-

Theoretical Performance

8.100 GPixel/s

Pixel Rate

165.1 GPixel/s

16.20 GTexel/s

Texture Rate

412.8 GTexel/s

-

FP16 (half)

26.42 TFLOPS

518.4 GFLOPS

FP32 (float)

13.21 TFLOPS

-

FP64 (double)

6.605 TFLOPS

Board Design

100W

TDP

250W

-

Suggested PSU

600 W

No outputs

Outputs

No outputs

-

Power Connectors

1x 8-pin

Graphics Processor

GF100

GPU Name

GV100

N10E-GLM5-A3

GPU Variant

-

Fermi

Architecture

Volta

TSMC

Foundry

TSMC

40 nm

Process Size

12 nm

3.1 billion

Transistors

21.1 billion

529 mm²

Die Size

815 mm²

Graphics Features

12 (11_0)

DirectX

12 (12_1)

4.6

OpenGL

4.6

1.1

OpenCL

3.0

N/A

Vulkan

1.3

2.0

CUDA

7.0

5.1

Shader Model

6.6

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