NVIDIA Quadro 5000 vs NVIDIA Tesla V100 SXM2 16 GB

VS

NVIDIA Quadro 5000

NVIDIA Tesla V100 SXM2 16 GB

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

Main Differences

NVIDIA Quadro 5000 's Advantages

Lower TDP (152W vs 250W)

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

Score

Benchmark

FP32 (float)

Quadro 5000

0.722 TFLOPS

Tesla V100 SXM2 16 GB +2164%

16.35 TFLOPS

Quadro 5000

VS

Tesla V100 SXM2 16 GB

Graphics Card

Feb 2011

Release Date

Nov 2019

Quadro

Generation

Tesla

Professional

Type

Professional

PCIe 2.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

-

Base Clock

1245 MHz

-

Boost Clock

1597 MHz

750 MHz

Memory Clock

1106 MHz

Memory

GB

Memory Size

16GB

GDDR5

Memory Type

HBM2

320bit

Memory Bus

4096bit

120.0GB/s

Bandwidth

1133GB/s

Render Config

-

11

SM Count

80

352

Shading Units

5120

44

TMUs

320

40

ROPs

128

-

Tensor Cores

640

-

64 KB (per SM)

L1 Cache

128 KB (per SM)

640 KB

L2 Cache

6 MB

-

Theoretical Performance

11.29 GPixel/s

Pixel Rate

204.4 GPixel/s

22.57 GTexel/s

Texture Rate

511.0 GTexel/s

-

FP16 (half)

32.71 TFLOPS

722.3 GFLOPS

FP32 (float)

16.35 TFLOPS

361.2 GFLOPS

FP64 (double)

8.177 TFLOPS

Board Design

152W

TDP

250W

450 W

Suggested PSU

600 W

1x DVI 2x DisplayPort

Outputs

No outputs

1x 6-pin

Power Connectors

None

Graphics Processor

GF100

GPU Name

GV100

GF100-850-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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