NVIDIA Quadro K510M vs NVIDIA Tesla V100 SXM2 32 GB

VS

NVIDIA Quadro K510M

NVIDIA Tesla V100 SXM2 32 GB

We compared two Professional market GPUs: 1024MB VRAM Quadro K510M and 32GB VRAM Tesla V100 SXM2 32 GB to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Quadro K510M 's Advantages

Lower TDP (30W vs 250W)

NVIDIA Tesla V100 SXM2 32 GB 's Advantages

Released 4 years and 8 months late

Boost Clock1530MHz

More VRAM (32GB vs 1024GB)

Larger VRAM bandwidth (897.0GB/s vs 19.20GB/s)

4928 additional rendering cores

Score

Benchmark

FP32 (float)

Quadro K510M

0.341 TFLOPS

Tesla V100 SXM2 32 GB +4495%

15.67 TFLOPS

Quadro K510M

VS

Tesla V100 SXM2 32 GB

Graphics Card

Jul 2013

Release Date

Mar 2018

Quadro Mobile

Generation

Tesla

Professional

Type

Professional

MXM-A (3.0)

Bus Interface

PCIe 3.0 x16

Clock Speeds

-

Base Clock

1290 MHz

-

Boost Clock

1530 MHz

600 MHz

Memory Clock

876 MHz

Memory

1024MB

Memory Size

32GB

GDDR5

Memory Type

HBM2

64bit

Memory Bus

4096bit

19.20GB/s

Bandwidth

897.0GB/s

Render Config

-

SM Count

80

192

Shading Units

5120

16

TMUs

320

8

ROPs

128

-

Tensor Cores

640

-

16 KB (per SMX)

L1 Cache

128 KB (per SM)

512 KB

L2 Cache

6 MB

-

Theoretical Performance

3.556 GPixel/s

Pixel Rate

195.8 GPixel/s

14.22 GTexel/s

Texture Rate

489.6 GTexel/s

-

FP16 (half)

31.33 TFLOPS

341.4 GFLOPS

FP32 (float)

15.67 TFLOPS

14.22 GFLOPS

FP64 (double)

7.834 TFLOPS

Board Design

30W

TDP

250W

-

Suggested PSU

600 W

No outputs

Outputs

No outputs

-

Power Connectors

None

Graphics Processor

GK208

GPU Name

GV100

-

Kepler 2.0

Architecture

Volta

TSMC

Foundry

TSMC

28 nm

Process Size

12 nm

1.02 billion

Transistors

21.1 billion

87 mm²

Die Size

815 mm²

Graphics Features

12 (11_0)

DirectX

12 (12_1)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.1

Vulkan

1.3

3.5

CUDA

7.0

5.1

Shader Model

6.6

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