NVIDIA Tesla K20c vs NVIDIA Quadro K500M

VS

We compared two Professional market GPUs: 5GB VRAM Tesla K20c and 1024MB VRAM Quadro K500M to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla K20c 's Advantages

More VRAM (5GB vs 1GB)

Larger VRAM bandwidth (208.0GB/s vs 12.80GB/s)

2304 additional rendering cores

NVIDIA Quadro K500M 's Advantages

Lower TDP (35W vs 225W)

Score

Benchmark

FP32 (float)

Tesla K20c +980%

3.524 TFLOPS

Quadro K500M

0.326 TFLOPS

Tesla K20c

VS

Quadro K500M

Graphics Card

Nov 2012

Release Date

Jun 2012

Tesla

Generation

Quadro Mobile

Professional

Type

Professional

PCIe 2.0 x16

Bus Interface

MXM-A (3.0)

Clock Speeds

-

Base Clock

-

Boost Clock

-

1300 MHz

Memory Clock

800 MHz

Memory

5GB

Memory Size

1024MB

GDDR5

Memory Type

DDR3

320bit

Memory Bus

64bit

208.0GB/s

Bandwidth

12.80GB/s

Render Config

-

SM Count

-

Compute Units

-

2496

Shading Units

192

208

TMUs

16

40

ROPs

8

-

Tensor Cores

-

RT Cores

-

16 KB (per SMX)

L1 Cache

16 KB (per SMX)

1280 KB

L2 Cache

128 KB

Theoretical Performance

36.71 GPixel/s

Pixel Rate

3.400 GPixel/s

146.8 GTexel/s

Texture Rate

13.60 GTexel/s

-

FP16 (half)

-

3.524 TFLOPS

FP32 (float)

326.4 GFLOPS

1175 GFLOPS

FP64 (double)

13.60 GFLOPS

Graphics Processor

GK110

GPU Name

GK107

GK110-885-KA-A1

GPU Variant

N14M-Q1

Kepler

Architecture

Kepler

TSMC

Foundry

TSMC

28 nm

Process Size

28 nm

7.08 billion

Transistors

1.27 billion

561 mm²

Die Size

118 mm²

Board Design

225W

TDP

35W

550 W

Suggested PSU

-

No outputs

Outputs

No outputs

1x 6-pin + 1x 8-pin

Power Connectors

-

Graphics Features

12 (11_0)

DirectX

12 (11_0)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.1

Vulkan

1.1

3.5

CUDA

3.0

5.1

Shader Model

5.1

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