NVIDIA Tesla K20m vs NVIDIA Quadro 600

VS

We compared two Professional market GPUs: 5GB VRAM Tesla K20m and 1024MB VRAM Quadro 600 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla K20m 's Advantages

Released 2 years and 1 months late

More VRAM (5GB vs 1GB)

Larger VRAM bandwidth (208.0GB/s vs 25.60GB/s)

2400 additional rendering cores

NVIDIA Quadro 600 's Advantages

Lower TDP (40W vs 225W)

Score

Benchmark

FP32 (float)

Tesla K20m +1332%

3.524 TFLOPS

Quadro 600

0.246 TFLOPS

Tesla K20m

VS

Quadro 600

Graphics Card

Jan 2013

Release Date

Dec 2010

Tesla

Generation

Quadro

Professional

Type

Professional

PCIe 2.0 x16

Bus Interface

PCIe 2.0 x16

Clock Speeds

-

Base Clock

-

Boost Clock

-

1300 MHz

Memory Clock

800 MHz

Memory

5GB

Memory Size

1024MB

GDDR5

Memory Type

DDR3

320bit

Memory Bus

128bit

208.0GB/s

Bandwidth

25.60GB/s

Render Config

-

SM Count

2

-

Compute Units

-

2496

Shading Units

96

208

TMUs

16

40

ROPs

8

-

Tensor Cores

-

RT Cores

-

16 KB (per SMX)

L1 Cache

64 KB (per SM)

1280 KB

L2 Cache

256 KB

Theoretical Performance

36.71 GPixel/s

Pixel Rate

2.560 GPixel/s

146.8 GTexel/s

Texture Rate

10.24 GTexel/s

-

FP16 (half)

-

3.524 TFLOPS

FP32 (float)

245.8 GFLOPS

1175 GFLOPS

FP64 (double)

20.48 GFLOPS

Graphics Processor

GK110

GPU Name

GF108

-

GPU Variant

-

Kepler

Architecture

Fermi

TSMC

Foundry

TSMC

28 nm

Process Size

40 nm

7.08 billion

Transistors

0.585 billion

561 mm²

Die Size

116 mm²

Board Design

225W

TDP

40W

550 W

Suggested PSU

200 W

No outputs

Outputs

1x DVI 1x DisplayPort

1x 6-pin + 1x 8-pin

Power Connectors

None

Graphics Features

12 (11_0)

DirectX

12 (11_0)

4.6

OpenGL

4.6

3.0

OpenCL

1.1

Vulkan

N/A

3.5

CUDA

2.1

5.1

Shader Model

5.1

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