NVIDIA Tesla V100 FHHL vs NVIDIA Quadro M5000M

VS

NVIDIA Tesla V100 FHHL

NVIDIA Quadro M5000M

We compared two Professional market GPUs: 16GB VRAM Tesla V100 FHHL and 8GB VRAM Quadro M5000M to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla V100 FHHL 's Advantages

Released 2 years and 7 months late

Boost Clock1290MHz

More VRAM (16GB vs 8GB)

Larger VRAM bandwidth (829.4GB/s vs 160.4GB/s)

3584 additional rendering cores

NVIDIA Quadro M5000M 's Advantages

Lower TDP (100W vs 250W)

Score

Benchmark

FP32 (float)

Tesla V100 FHHL +341%

13.21 TFLOPS

Quadro M5000M

2.995 TFLOPS

Tesla V100 FHHL

VS

Quadro M5000M

Graphics Card

Mar 2018

Release Date

Aug 2015

Tesla

Generation

Quadro Mobile

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

MXM-B (3.0)

Clock Speeds

937 MHz

Base Clock

-

1290 MHz

Boost Clock

-

810 MHz

Memory Clock

1253 MHz

Memory

16GB

Memory Size

8GB

HBM2

Memory Type

GDDR5

4096bit

Memory Bus

256bit

829.4GB/s

Bandwidth

160.4GB/s

Render Config

-

80

SM Count

-

5120

Shading Units

1536

320

TMUs

96

128

ROPs

64

640

Tensor Cores

-

128 KB (per SM)

L1 Cache

48 KB (per SMM)

6 MB

L2 Cache

2 MB

-

Theoretical Performance

165.1 GPixel/s

Pixel Rate

62.40 GPixel/s

412.8 GTexel/s

Texture Rate

93.60 GTexel/s

26.42 TFLOPS

FP16 (half)

-

13.21 TFLOPS

FP32 (float)

2.995 TFLOPS

6.605 TFLOPS

FP64 (double)

93.60 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

GM204

-

GPU Variant

N16E-Q5-A1

Volta

Architecture

Maxwell 2.0

TSMC

Foundry

TSMC

12 nm

Process Size

28 nm

21.1 billion

Transistors

5.2 billion

815 mm²

Die Size

398 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

5.2

6.6

Shader Model

6.4

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