NVIDIA Tesla K80 vs NVIDIA Quadro M5000

VS

NVIDIA Tesla K80

NVIDIA Quadro M5000

We compared two Professional market GPUs: 12GB VRAM Tesla K80 and 8GB VRAM Quadro M5000 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla K80 's Advantages

More VRAM (12GB vs 8GB)

Larger VRAM bandwidth (240.6GB/s vs 211.6GB/s)

448 additional rendering cores

NVIDIA Quadro M5000 's Advantages

Released 7 months late

Boost Clock has increased by 26% (1038MHz vs 824MHz)

Lower TDP (150W vs 300W)

Score

Benchmark

FP32 (float)

Tesla K80

4.113 TFLOPS

Quadro M5000 +3%

4.252 TFLOPS

Blender

Tesla K80 +12%

373

Quadro M5000

332

OctaneBench

Tesla K80

62

Quadro M5000 +40%

87

Tesla K80

VS

Quadro M5000

Graphics Card

Nov 2014

Release Date

Jun 2015

Tesla

Generation

Quadro

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

562 MHz

Base Clock

861 MHz

824 MHz

Boost Clock

1038 MHz

1253 MHz

Memory Clock

1653 MHz

Memory

12GB

Memory Size

8GB

GDDR5

Memory Type

GDDR5

384bit

Memory Bus

256bit

240.6GB/s

Bandwidth

211.6GB/s

Render Config

-

2496

Shading Units

2048

208

TMUs

128

48

ROPs

64

-

16 KB (per SMX)

L1 Cache

48 KB (per SMM)

1536 KB

L2 Cache

2 MB

-

Theoretical Performance

42.85 GPixel/s

Pixel Rate

66.43 GPixel/s

171.4 GTexel/s

Texture Rate

132.9 GTexel/s

-

4.113 TFLOPS

FP32 (float)

4.252 TFLOPS

1371 GFLOPS

FP64 (double)

132.9 GFLOPS

Board Design

300W

TDP

150W

700 W

Suggested PSU

450 W

No outputs

Outputs

1x DVI 4x DisplayPort 1.4a

1x 8-pin

Power Connectors

1x 6-pin

Graphics Processor

GK210

GPU Name

GM204

GK210-885-A1

GPU Variant

GM204-875-A1

Kepler 2.0

Architecture

Maxwell 2.0

TSMC

Foundry

TSMC

28 nm

Process Size

28 nm

7.1 billion

Transistors

5.2 billion

561 mm²

Die Size

398 mm²

Graphics Features

12 (11_1)

DirectX

12 (12_1)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.1

Vulkan

1.3

3.7

CUDA

5.2

5.1

Shader Model

6.4

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