NVIDIA Quadro K420 vs NVIDIA Tesla V100 SXM2 16 GB

VS

NVIDIA Quadro K420

NVIDIA Tesla V100 SXM2 16 GB

We compared two Professional market GPUs: 1024MB VRAM Quadro K420 and 16GB VRAM Tesla V100 SXM2 16 GB to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Quadro K420 's Advantages

Lower TDP (41W vs 250W)

NVIDIA Tesla V100 SXM2 16 GB 's Advantages

Released 5 years and 4 months late

Boost Clock1597MHz

More VRAM (16GB vs 1024GB)

Larger VRAM bandwidth (1133GB/s vs 28.51GB/s)

4928 additional rendering cores

Score

Benchmark

FP32 (float)

Quadro K420

0.336 TFLOPS

Tesla V100 SXM2 16 GB +4766%

16.35 TFLOPS

Quadro K420

VS

Tesla V100 SXM2 16 GB

Graphics Card

Jul 2014

Release Date

Nov 2019

Quadro

Generation

Tesla

Professional

Type

Professional

PCIe 2.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

-

Base Clock

1245 MHz

-

Boost Clock

1597 MHz

891 MHz

Memory Clock

1106 MHz

Memory

1024MB

Memory Size

16GB

DDR3

Memory Type

HBM2

128bit

Memory Bus

4096bit

28.51GB/s

Bandwidth

1133GB/s

Render Config

-

SM Count

80

192

Shading Units

5120

16

TMUs

320

16

ROPs

128

-

Tensor Cores

640

-

16 KB (per SMX)

L1 Cache

128 KB (per SM)

256 KB

L2 Cache

6 MB

-

Theoretical Performance

3.504 GPixel/s

Pixel Rate

204.4 GPixel/s

14.02 GTexel/s

Texture Rate

511.0 GTexel/s

-

FP16 (half)

32.71 TFLOPS

336.4 GFLOPS

FP32 (float)

16.35 TFLOPS

14.02 GFLOPS

FP64 (double)

8.177 TFLOPS

Board Design

41W

TDP

250W

200 W

Suggested PSU

600 W

1x DVI 1x DisplayPort 1.2

Outputs

No outputs

None

Power Connectors

None

Graphics Processor

GK107

GPU Name

GV100

GK107-301-A2

GPU Variant

-

Kepler

Architecture

Volta

TSMC

Foundry

TSMC

28 nm

Process Size

12 nm

1.27 billion

Transistors

21.1 billion

118 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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