NVIDIA Tesla V100 SXM2 16 GB vs NVIDIA Quadro 5000

VS

NVIDIA Tesla V100 SXM2 16 GB

NVIDIA Quadro 5000

We compared two Professional market GPUs: 16GB VRAM Tesla V100 SXM2 16 GB and 0GB VRAM Quadro 5000 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla V100 SXM2 16 GB 's Advantages

Released 8 years and 9 months late

Boost Clock1597MHz

Larger VRAM bandwidth (1133GB/s vs 120.0GB/s)

4768 additional rendering cores

NVIDIA Quadro 5000 's Advantages

Lower TDP (152W vs 250W)

Score

Benchmark

FP32 (float)

Tesla V100 SXM2 16 GB +2164%

16.35 TFLOPS

Quadro 5000

0.722 TFLOPS

Tesla V100 SXM2 16 GB

VS

Quadro 5000

Graphics Card

Nov 2019

Release Date

Feb 2011

Tesla

Generation

Quadro

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 2.0 x16

Clock Speeds

1245 MHz

Base Clock

-

1597 MHz

Boost Clock

-

1106 MHz

Memory Clock

750 MHz

Memory

16GB

Memory Size

GB

HBM2

Memory Type

GDDR5

4096bit

Memory Bus

320bit

1133GB/s

Bandwidth

120.0GB/s

Render Config

-

80

SM Count

11

5120

Shading Units

352

320

TMUs

44

128

ROPs

40

640

Tensor Cores

-

128 KB (per SM)

L1 Cache

64 KB (per SM)

6 MB

L2 Cache

640 KB

-

Theoretical Performance

204.4 GPixel/s

Pixel Rate

11.29 GPixel/s

511.0 GTexel/s

Texture Rate

22.57 GTexel/s

32.71 TFLOPS

FP16 (half)

-

16.35 TFLOPS

FP32 (float)

722.3 GFLOPS

8.177 TFLOPS

FP64 (double)

361.2 GFLOPS

Board Design

250W

TDP

152W

600 W

Suggested PSU

450 W

No outputs

Outputs

1x DVI 2x DisplayPort

None

Power Connectors

1x 6-pin

Graphics Processor

GV100

GPU Name

GF100

-

GPU Variant

GF100-850-A3

Volta

Architecture

Fermi

TSMC

Foundry

TSMC

12 nm

Process Size

40 nm

21.1 billion

Transistors

3.1 billion

815 mm²

Die Size

529 mm²

Graphics Features

12 (12_1)

DirectX

12 (11_0)

4.6

OpenGL

4.6

3.0

OpenCL

1.1

1.3

Vulkan

N/A

7.0

CUDA

2.0

6.6

Shader Model

5.1

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