NVIDIA Tesla V100 SXM2 16 GB vs NVIDIA Quadro K600

VS

NVIDIA Tesla V100 SXM2 16 GB NVIDIA Quadro K600

We compared two Professional market GPUs: 16GB VRAM Tesla V100 SXM2 16 GB and 1024MB VRAM Quadro K600 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla V100 SXM2 16 GB 's Advantages

Released 6 years and 8 months late

Boost Clock1597MHz

More VRAM (16GB vs 1GB)

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

4928 additional rendering cores

NVIDIA Quadro K600 's Advantages

Lower TDP (41W vs 250W)

Score

Benchmark

FP32 (float)

Tesla V100 SXM2 16 GB +4766%

16.35 TFLOPS

Quadro K600

0.336 TFLOPS

Tesla V100 SXM2 16 GB

VS

Quadro K600

Graphics Card

Nov 2019

Release Date

Mar 2013

Tesla

Generation

Quadro

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 2.0 x16

Clock Speeds

1245 MHz

Base Clock

-

1597 MHz

Boost Clock

-

1106 MHz

Memory Clock

891 MHz

Memory

16GB

Memory Size

1024MB

HBM2

Memory Type

DDR3

4096bit

Memory Bus

128bit

1133GB/s

Bandwidth

28.51GB/s

Render Config

80

SM Count

-

Compute Units

-

5120

Shading Units

192

320

TMUs

16

128

ROPs

16

640

Tensor Cores

-

RT Cores

-

128 KB (per SM)

L1 Cache

16 KB (per SMX)

6 MB

L2 Cache

256 KB

Theoretical Performance

204.4 GPixel/s

Pixel Rate

3.504 GPixel/s

511.0 GTexel/s

Texture Rate

14.02 GTexel/s

32.71 TFLOPS

FP16 (half)

-

16.35 TFLOPS

FP32 (float)

336.4 GFLOPS

8.177 TFLOPS

FP64 (double)

14.02 GFLOPS

Graphics Processor

GV100

GPU Name

GK107

-

GPU Variant

GK107-301-A2

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

41W

600 W

Suggested PSU

200 W

No outputs

Outputs

1x DVI 1x DisplayPort 1.2

None

Power Connectors

None

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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