NVIDIA Quadro 1000M vs NVIDIA Tesla K40st

VS

We compared two Professional market GPUs: 2GB VRAM Quadro 1000M and 12GB VRAM Tesla K40st to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Quadro 1000M 's Advantages

Lower TDP (45W vs 245W)

NVIDIA Tesla K40st 's Advantages

Released 2 years and 10 months late

More VRAM (12GB vs 2GB)

Larger VRAM bandwidth (288.4GB/s vs 28.80GB/s)

2784 additional rendering cores

Score

Benchmark

FP32 (float)

Quadro 1000M

0.269 TFLOPS

Tesla K40st +1131%

3.312 TFLOPS

Quadro 1000M

VS

Tesla K40st

Graphics Card

Jan 2011

Release Date

Nov 2013

Quadro Mobile

Generation

Tesla

Professional

Type

Professional

MXM-A (3.0)

Bus Interface

PCIe 3.0 x16

Clock Speeds

-

Base Clock

-

Boost Clock

-

900 MHz

Memory Clock

1502 MHz

Memory

2GB

Memory Size

12GB

DDR3

Memory Type

GDDR5

128bit

Memory Bus

384bit

28.80GB/s

Bandwidth

288.4GB/s

Render Config

4

SM Count

-

Compute Units

-

96

Shading Units

2880

16

TMUs

240

4

ROPs

48

-

Tensor Cores

-

RT Cores

-

64 KB (per SM)

L1 Cache

16 KB (per SMX)

256 KB

L2 Cache

1536 KB

Theoretical Performance

5.600 GPixel/s

Pixel Rate

34.50 GPixel/s

11.20 GTexel/s

Texture Rate

138.0 GTexel/s

-

FP16 (half)

-

268.8 GFLOPS

FP32 (float)

3.312 TFLOPS

22.40 GFLOPS

FP64 (double)

1104 GFLOPS

Graphics Processor

GF108

GPU Name

GK110B

N12P-Q1

GPU Variant

-

Fermi

Architecture

Kepler

TSMC

Foundry

TSMC

40 nm

Process Size

28 nm

0.585 billion

Transistors

7.08 billion

116 mm²

Die Size

561 mm²

Board Design

45W

TDP

245W

-

Suggested PSU

550 W

No outputs

Outputs

No outputs

-

Power Connectors

-

Graphics Features

12 (11_0)

DirectX

12 (11_1)

4.6

OpenGL

4.6

1.1

OpenCL

3.0

N/A

Vulkan

1.1

2.1

CUDA

3.5

5.1

Shader Model

5.1

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