NVIDIA Tesla V100 SXM2 32 GB vs NVIDIA Quadro M3000 SE

VS

NVIDIA Tesla V100 SXM2 32 GB

NVIDIA Quadro M3000 SE

We compared two Professional market GPUs: 32GB VRAM Tesla V100 SXM2 32 GB and 4GB VRAM Quadro M3000 SE to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla V100 SXM2 32 GB 's Advantages

Released 1 years and 5 months late

Boost Clock has increased by 66% (1530MHz vs 924MHz)

More VRAM (32GB vs 4GB)

Larger VRAM bandwidth (897.0GB/s vs 160.4GB/s)

4096 additional rendering cores

NVIDIA Quadro M3000 SE 's Advantages

Lower TDP (75W vs 250W)

Score

Benchmark

FP32 (float)

Tesla V100 SXM2 32 GB +728%

15.67 TFLOPS

Quadro M3000 SE

1.892 TFLOPS

Tesla V100 SXM2 32 GB

VS

Quadro M3000 SE

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

1290 MHz

Base Clock

823 MHz

1530 MHz

Boost Clock

924 MHz

876 MHz

Memory Clock

1253 MHz

Memory

32GB

Memory Size

4GB

HBM2

Memory Type

GDDR5

4096bit

Memory Bus

256bit

897.0GB/s

Bandwidth

160.4GB/s

Render Config

-

80

SM Count

-

5120

Shading Units

1024

320

TMUs

64

128

ROPs

32

640

Tensor Cores

-

128 KB (per SM)

L1 Cache

48 KB (per SMM)

6 MB

L2 Cache

2 MB

-

Theoretical Performance

195.8 GPixel/s

Pixel Rate

29.57 GPixel/s

489.6 GTexel/s

Texture Rate

59.14 GTexel/s

31.33 TFLOPS

FP16 (half)

-

15.67 TFLOPS

FP32 (float)

1.892 TFLOPS

7.834 TFLOPS

FP64 (double)

59.14 GFLOPS

Board Design

250W

TDP

75W

600 W

Suggested PSU

250 W

No outputs

Outputs

No outputs

None

Power Connectors

None

Graphics Processor

GV100

GPU Name

GM204

-

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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