NVIDIA Quadro K100M vs NVIDIA Tesla M2070 Q

VS

NVIDIA Quadro K100M NVIDIA Tesla M2070 Q

We compared two Professional market GPUs: 1024MB VRAM Quadro K100M and 6GB VRAM Tesla M2070 Q to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Quadro K100M 's Advantages

Released 3 years and 1 months late

Lower TDP (35W vs 225W)

NVIDIA Tesla M2070 Q 's Advantages

More VRAM (6GB vs 1GB)

Larger VRAM bandwidth (150.3GB/s vs 12.80GB/s)

256 additional rendering cores

Score

Benchmark

FP32 (float)

Quadro K100M

0.326 TFLOPS

Tesla M2070 Q +215%

1.028 TFLOPS

Quadro K100M

VS

Tesla M2070 Q

Graphics Card

Aug 2014

Release Date

Jul 2011

Quadro Mobile

Generation

Tesla

Professional

Type

Professional

MXM-A (3.0)

Bus Interface

PCIe 2.0 x16

Clock Speeds

-

Base Clock

-

Boost Clock

-

800 MHz

Memory Clock

783 MHz

Memory

1024MB

Memory Size

6GB

DDR3

Memory Type

GDDR5

64bit

Memory Bus

384bit

12.80GB/s

Bandwidth

150.3GB/s

Render Config

-

SM Count

14

-

Compute Units

-

192

Shading Units

448

16

TMUs

56

8

ROPs

48

-

Tensor Cores

-

RT Cores

-

16 KB (per SMX)

L1 Cache

64 KB (per SM)

128 KB

L2 Cache

768 KB

Theoretical Performance

3.400 GPixel/s

Pixel Rate

16.07 GPixel/s

13.60 GTexel/s

Texture Rate

32.14 GTexel/s

-

FP16 (half)

-

326.4 GFLOPS

FP32 (float)

1028 GFLOPS

13.60 GFLOPS

FP64 (double)

513.9 GFLOPS

Graphics Processor

GK107

GPU Name

GF100

N14M-Q1

GPU Variant

GF100-876-A1

Kepler

Architecture

Fermi

TSMC

Foundry

TSMC

28 nm

Process Size

40 nm

1.27 billion

Transistors

3.1 billion

118 mm²

Die Size

529 mm²

Board Design

35W

TDP

225W

-

Suggested PSU

550 W

No outputs

Outputs

No outputs

-

Power Connectors

1x 6-pin + 1x 8-pin

Graphics Features

12 (11_0)

DirectX

12 (11_0)

4.6

OpenGL

4.6

3.0

OpenCL

1.1

Vulkan

N/A

3.0

CUDA

2.0

5.1

Shader Model

5.1

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