NVIDIA Quadro K4000 vs NVIDIA Tesla V100 FHHL

VS

NVIDIA Quadro K4000

NVIDIA Tesla V100 FHHL

We compared two Professional market GPUs: 3GB VRAM Quadro K4000 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 K4000 's Advantages

Lower TDP (80W vs 250W)

NVIDIA Tesla V100 FHHL 's Advantages

Released 5 years late

Boost Clock1290MHz

More VRAM (16GB vs 3GB)

Larger VRAM bandwidth (829.4GB/s vs 134.8GB/s)

4352 additional rendering cores

Score

Benchmark

FP32 (float)

Quadro K4000

1.244 TFLOPS

Tesla V100 FHHL +961%

13.21 TFLOPS

Quadro K4000

VS

Tesla V100 FHHL

Graphics Card

Mar 2013

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

1404 MHz

Memory Clock

810 MHz

Memory

3GB

Memory Size

16GB

GDDR5

Memory Type

HBM2

192bit

Memory Bus

4096bit

134.8GB/s

Bandwidth

829.4GB/s

Render Config

-

SM Count

80

768

Shading Units

5120

64

TMUs

320

24

ROPs

128

-

Tensor Cores

640

-

16 KB (per SMX)

L1 Cache

128 KB (per SM)

384 KB

L2 Cache

6 MB

-

Theoretical Performance

12.96 GPixel/s

Pixel Rate

165.1 GPixel/s

51.84 GTexel/s

Texture Rate

412.8 GTexel/s

-

FP16 (half)

26.42 TFLOPS

1244 GFLOPS

FP32 (float)

13.21 TFLOPS

51.84 GFLOPS

FP64 (double)

6.605 TFLOPS

Board Design

80W

TDP

250W

250 W

Suggested PSU

600 W

1x DVI 2x DisplayPort 1.2

Outputs

No outputs

1x 6-pin

Power Connectors

1x 8-pin

Graphics Processor

GK106

GPU Name

GV100

-

Kepler

Architecture

Volta

TSMC

Foundry

TSMC

28 nm

Process Size

12 nm

2.54 billion

Transistors

21.1 billion

221 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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