NVIDIA Tesla V100 FHHL vs NVIDIA Quadro M1000M

VS

NVIDIA Tesla V100 FHHL NVIDIA Quadro M1000M

We compared two Professional market GPUs: 16GB VRAM Tesla V100 FHHL and 2GB VRAM Quadro M1000M 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 2GB)

Larger VRAM bandwidth (829.4GB/s vs 80.19GB/s)

4608 additional rendering cores

NVIDIA Quadro M1000M 's Advantages

Lower TDP (40W vs 250W)

Score

Benchmark

FP32 (float)

Tesla V100 FHHL +1198%

13.21 TFLOPS

Quadro M1000M

1.017 TFLOPS

Tesla V100 FHHL

VS

Quadro M1000M

Graphics Card

Mar 2018

Release Date

Aug 2015

Tesla

Generation

Quadro Mobile

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

MXM-A (3.0)

Clock Speeds

937 MHz

Base Clock

-

1290 MHz

Boost Clock

-

810 MHz

Memory Clock

1253 MHz

Memory

16GB

Memory Size

2GB

HBM2

Memory Type

GDDR5

4096bit

Memory Bus

128bit

829.4GB/s

Bandwidth

80.19GB/s

Render Config

80

SM Count

-

Compute Units

-

5120

Shading Units

512

320

TMUs

32

128

ROPs

16

640

Tensor Cores

-

RT Cores

-

128 KB (per SM)

L1 Cache

64 KB (per SMM)

6 MB

L2 Cache

2 MB

Theoretical Performance

165.1 GPixel/s

Pixel Rate

15.89 GPixel/s

412.8 GTexel/s

Texture Rate

31.78 GTexel/s

26.42 TFLOPS

FP16 (half)

-

13.21 TFLOPS

FP32 (float)

1017 GFLOPS

6.605 TFLOPS

FP64 (double)

31.78 GFLOPS

Graphics Processor

GV100

GPU Name

GM107

-

GPU Variant

N16P-Q1-A2

Volta

Architecture

Maxwell

TSMC

Foundry

TSMC

12 nm

Process Size

28 nm

21.1 billion

Transistors

1.87 billion

815 mm²

Die Size

148 mm²

Board Design

250W

TDP

40W

600 W

Suggested PSU

-

No outputs

Outputs

No outputs

1x 8-pin

Power Connectors

None

Graphics Features

12 (12_1)

DirectX

12 (11_0)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.3

Vulkan

1.3

7.0

CUDA

5.0

6.6

Shader Model

5.1

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