NVIDIA Quadro K5000 vs NVIDIA Tesla V100 FHHL

VS

NVIDIA Quadro K5000

NVIDIA Tesla V100 FHHL

We compared two Professional market GPUs: 4GB VRAM Quadro K5000 and 16GB VRAM Tesla V100 FHHL to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Quadro K5000 's Advantages

Lower TDP (122W vs 250W)

NVIDIA Tesla V100 FHHL 's Advantages

Released 5 years and 7 months late

Boost Clock1290MHz

More VRAM (16GB vs 4GB)

Larger VRAM bandwidth (829.4GB/s vs 172.8GB/s)

3584 additional rendering cores

Score

Benchmark

FP32 (float)

Quadro K5000

2.169 TFLOPS

Tesla V100 FHHL +509%

13.21 TFLOPS

Quadro K5000

VS

Tesla V100 FHHL

Graphics Card

Aug 2012

Release Date

Mar 2018

Quadro

Generation

Tesla

Professional

Type

Professional

PCIe 2.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

-

Base Clock

937 MHz

-

Boost Clock

1290 MHz

1350 MHz

Memory Clock

810 MHz

Memory

4GB

Memory Size

16GB

GDDR5

Memory Type

HBM2

256bit

Memory Bus

4096bit

172.8GB/s

Bandwidth

829.4GB/s

Render Config

-

SM Count

80

1536

Shading Units

5120

128

TMUs

320

32

ROPs

128

-

Tensor Cores

640

-

16 KB (per SMX)

L1 Cache

128 KB (per SM)

512 KB

L2 Cache

6 MB

-

Theoretical Performance

22.59 GPixel/s

Pixel Rate

165.1 GPixel/s

90.37 GTexel/s

Texture Rate

412.8 GTexel/s

-

FP16 (half)

26.42 TFLOPS

2.169 TFLOPS

FP32 (float)

13.21 TFLOPS

90.37 GFLOPS

FP64 (double)

6.605 TFLOPS

Board Design

122W

TDP

250W

300 W

Suggested PSU

600 W

2x DVI 2x DisplayPort 1.2

Outputs

No outputs

1x 6-pin

Power Connectors

1x 8-pin

Graphics Processor

GK104

GPU Name

GV100

-

Kepler

Architecture

Volta

TSMC

Foundry

TSMC

28 nm

Process Size

12 nm

3.54 billion

Transistors

21.1 billion

294 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

3.0

CUDA

7.0

5.1

Shader Model

6.6

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