NVIDIA Tesla V100 FHHL vs NVIDIA Quadro K500M

VS

NVIDIA Tesla V100 FHHL

NVIDIA Quadro K500M

We compared two Professional market GPUs: 16GB VRAM Tesla V100 FHHL 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 FHHL 's Advantages

Released 5 years and 9 months late

Boost Clock1290MHz

More VRAM (16GB vs 1024GB)

Larger VRAM bandwidth (829.4GB/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 FHHL +3952%

13.21 TFLOPS

Quadro K500M

0.326 TFLOPS

Tesla V100 FHHL

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

937 MHz

Base Clock

-

1290 MHz

Boost Clock

-

810 MHz

Memory Clock

800 MHz

Memory

16GB

Memory Size

1024MB

HBM2

Memory Type

DDR3

4096bit

Memory Bus

64bit

829.4GB/s

Bandwidth

12.80GB/s

Render Config

-

80

SM Count

-

5120

Shading Units

192

320

TMUs

16

128

ROPs

8

640

Tensor Cores

-

128 KB (per SM)

L1 Cache

16 KB (per SMX)

6 MB

L2 Cache

128 KB

-

Theoretical Performance

165.1 GPixel/s

Pixel Rate

3.400 GPixel/s

412.8 GTexel/s

Texture Rate

13.60 GTexel/s

26.42 TFLOPS

FP16 (half)

-

13.21 TFLOPS

FP32 (float)

326.4 GFLOPS

6.605 TFLOPS

FP64 (double)

13.60 GFLOPS

Board Design

250W

TDP

35W

600 W

Suggested PSU

-

No outputs

Outputs

No outputs

1x 8-pin

Power Connectors

-

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

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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