NVIDIA Quadro 500M vs NVIDIA Tesla V100 SXM2 16 GB

VS

NVIDIA Quadro 500M

NVIDIA Tesla V100 SXM2 16 GB

We compared two Professional market GPUs: 1024MB VRAM Quadro 500M 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 500M 's Advantages

Lower TDP (35W vs 250W)

NVIDIA Tesla V100 SXM2 16 GB 's Advantages

Released 8 years and 9 months late

Boost Clock1597MHz

More VRAM (16GB vs 1024GB)

Larger VRAM bandwidth (1133GB/s vs 28.80GB/s)

5024 additional rendering cores

Score

Benchmark

FP32 (float)

Quadro 500M

0.269 TFLOPS

Tesla V100 SXM2 16 GB +5978%

16.35 TFLOPS

Quadro 500M

VS

Tesla V100 SXM2 16 GB

Graphics Card

Feb 2011

Release Date

Nov 2019

Quadro Mobile

Generation

Tesla

Professional

Type

Professional

MXM-A (3.0)

Bus Interface

PCIe 3.0 x16

Clock Speeds

-

Base Clock

1245 MHz

-

Boost Clock

1597 MHz

900 MHz

Memory Clock

1106 MHz

Memory

1024MB

Memory Size

16GB

DDR3

Memory Type

HBM2

128bit

Memory Bus

4096bit

28.80GB/s

Bandwidth

1133GB/s

Render Config

-

2

SM Count

80

96

Shading Units

5120

16

TMUs

320

4

ROPs

128

-

Tensor Cores

640

-

64 KB (per SM)

L1 Cache

128 KB (per SM)

256 KB

L2 Cache

6 MB

-

Theoretical Performance

2.800 GPixel/s

Pixel Rate

204.4 GPixel/s

11.20 GTexel/s

Texture Rate

511.0 GTexel/s

-

FP16 (half)

32.71 TFLOPS

268.8 GFLOPS

FP32 (float)

16.35 TFLOPS

22.40 GFLOPS

FP64 (double)

8.177 TFLOPS

Board Design

35W

TDP

250W

-

Suggested PSU

600 W

No outputs

Outputs

No outputs

-

Power Connectors

None

Graphics Processor

GF108

GPU Name

GV100

N12M-Q3

GPU Variant

-

Fermi

Architecture

Volta

TSMC

Foundry

TSMC

40 nm

Process Size

12 nm

0.585 billion

Transistors

21.1 billion

116 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

2.1

CUDA

7.0

5.1

Shader Model

6.6

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