NVIDIA Quadro K1000M vs NVIDIA Tesla K8

VS

We compared two Professional market GPUs: 2GB VRAM Quadro K1000M and 8GB VRAM Tesla K8 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Quadro K1000M 's Advantages

Lower TDP (45W vs 100W)

NVIDIA Tesla K8 's Advantages

Released 2 years and 3 months late

Boost Clock811MHz

More VRAM (8GB vs 2GB)

Larger VRAM bandwidth (160.0GB/s vs 28.80GB/s)

1344 additional rendering cores

Score

Benchmark

FP32 (float)

Quadro K1000M

0.326 TFLOPS

Tesla K8 +664%

2.491 TFLOPS

Quadro K1000M

VS

Tesla K8

Graphics Card

Jun 2012

Release Date

Sep 2014

Quadro Mobile

Generation

Tesla

Professional

Type

Professional

MXM-A (3.0)

Bus Interface

PCIe 2.0 x16

Clock Speeds

-

Base Clock

693 MHz

-

Boost Clock

811 MHz

900 MHz

Memory Clock

1250 MHz

Memory

2GB

Memory Size

8GB

DDR3

Memory Type

GDDR5

128bit

Memory Bus

256bit

28.80GB/s

Bandwidth

160.0GB/s

Render Config

-

SM Count

-

Compute Units

-

192

Shading Units

1536

16

TMUs

128

16

ROPs

32

-

Tensor Cores

-

RT Cores

-

16 KB (per SMX)

L1 Cache

16 KB (per SMX)

256 KB

L2 Cache

512 KB

Theoretical Performance

3.400 GPixel/s

Pixel Rate

25.95 GPixel/s

13.60 GTexel/s

Texture Rate

103.8 GTexel/s

-

FP16 (half)

-

326.4 GFLOPS

FP32 (float)

2.491 TFLOPS

13.60 GFLOPS

FP64 (double)

103.8 GFLOPS

Graphics Processor

GK107

GPU Name

GK104

N14P-Q1-A2

GPU Variant

-

Kepler

Architecture

Kepler

TSMC

Foundry

TSMC

28 nm

Process Size

28 nm

1.27 billion

Transistors

3.54 billion

118 mm²

Die Size

294 mm²

Board Design

45W

TDP

100W

-

Suggested PSU

300 W

No outputs

Outputs

No outputs

-

Power Connectors

1x 6-pin

Graphics Features

12 (11_0)

DirectX

12 (11_0)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.1

Vulkan

1.1

3.0

CUDA

3.0

5.1

Shader Model

5.1

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