NVIDIA Tesla V100 DGXS 32 GB vs NVIDIA Quadro K500M

VS

NVIDIA Tesla V100 DGXS 32 GB NVIDIA Quadro K500M

We compared two Professional market GPUs: 32GB VRAM Tesla V100 DGXS 32 GB and 1024MB VRAM Quadro K500M to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla V100 DGXS 32 GB 's Advantages

Released 5 years and 9 months late

Boost Clock1530MHz

More VRAM (32GB vs 1GB)

Larger VRAM bandwidth (897.0GB/s vs 12.80GB/s)

4928 additional rendering cores

NVIDIA Quadro K500M 's Advantages

Lower TDP (35W vs 250W)

Score

Benchmark

FP32 (float)

Tesla V100 DGXS 32 GB +4706%

15.67 TFLOPS

Quadro K500M

0.326 TFLOPS

Tesla V100 DGXS 32 GB

VS

Quadro K500M

Graphics Card

Mar 2018

Release Date

Jun 2012

Tesla

Generation

Quadro Mobile

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

MXM-A (3.0)

Clock Speeds

1297 MHz

Base Clock

-

1530 MHz

Boost Clock

-

876 MHz

Memory Clock

800 MHz

Memory

32GB

Memory Size

1024MB

HBM2

Memory Type

DDR3

4096bit

Memory Bus

64bit

897.0GB/s

Bandwidth

12.80GB/s

Render Config

80

SM Count

-

Compute Units

-

5120

Shading Units

192

320

TMUs

16

128

ROPs

8

640

Tensor Cores

-

RT Cores

-

128 KB (per SM)

L1 Cache

16 KB (per SMX)

6 MB

L2 Cache

128 KB

Theoretical Performance

195.8 GPixel/s

Pixel Rate

3.400 GPixel/s

489.6 GTexel/s

Texture Rate

13.60 GTexel/s

31.33 TFLOPS

FP16 (half)

-

15.67 TFLOPS

FP32 (float)

326.4 GFLOPS

7.834 TFLOPS

FP64 (double)

13.60 GFLOPS

Graphics Processor

GV100

GPU Name

GK107

-

GPU Variant

N14M-Q1

Volta

Architecture

Kepler

TSMC

Foundry

TSMC

12 nm

Process Size

28 nm

21.1 billion

Transistors

1.27 billion

815 mm²

Die Size

118 mm²

Board Design

250W

TDP

35W

600 W

Suggested PSU

-

No outputs

Outputs

No outputs

None

Power Connectors

-

Graphics Features

12 (12_1)

DirectX

12 (11_0)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.3

Vulkan

1.1

7.0

CUDA

3.0

6.6

Shader Model

5.1

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