NVIDIA Tesla K80 vs NVIDIA Quadro K1000M

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We compared two Professional market GPUs: 12GB VRAM Tesla K80 and 2GB VRAM Quadro K1000M to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla K80 's Advantages

Released 2 years and 5 months late

Boost Clock824MHz

More VRAM (12GB vs 2GB)

Larger VRAM bandwidth (240.6GB/s vs 28.80GB/s)

2304 additional rendering cores

NVIDIA Quadro K1000M 's Advantages

Lower TDP (45W vs 300W)

Score

Benchmark

FP32 (float)

Tesla K80 +1161%

4.113 TFLOPS

Quadro K1000M

0.326 TFLOPS

Blender

Tesla K80 +1676%

373

Quadro K1000M

21

Tesla K80

VS

Quadro K1000M

Graphics Card

Nov 2014

Release Date

Jun 2012

Tesla

Generation

Quadro Mobile

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

MXM-A (3.0)

Clock Speeds

562 MHz

Base Clock

-

824 MHz

Boost Clock

-

1253 MHz

Memory Clock

900 MHz

Memory

12GB

Memory Size

2GB

GDDR5

Memory Type

DDR3

384bit

Memory Bus

128bit

240.6GB/s

Bandwidth

28.80GB/s

Render Config

-

SM Count

-

Compute Units

-

2496

Shading Units

192

208

TMUs

16

48

ROPs

16

-

Tensor Cores

-

RT Cores

-

16 KB (per SMX)

L1 Cache

16 KB (per SMX)

1536 KB

L2 Cache

256 KB

Theoretical Performance

42.85 GPixel/s

Pixel Rate

3.400 GPixel/s

171.4 GTexel/s

Texture Rate

13.60 GTexel/s

-

FP16 (half)

-

4.113 TFLOPS

FP32 (float)

326.4 GFLOPS

1371 GFLOPS

FP64 (double)

13.60 GFLOPS

Graphics Processor

GK210

GPU Name

GK107

GK210-885-A1

GPU Variant

N14P-Q1-A2

Kepler 2.0

Architecture

Kepler

TSMC

Foundry

TSMC

28 nm

Process Size

28 nm

7.1 billion

Transistors

1.27 billion

561 mm²

Die Size

118 mm²

Board Design

300W

TDP

45W

700 W

Suggested PSU

-

No outputs

Outputs

No outputs

1x 8-pin

Power Connectors

-

Graphics Features

12 (11_1)

DirectX

12 (11_0)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.1

Vulkan

1.1

3.7

CUDA

3.0

5.1

Shader Model

5.1

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