NVIDIA Quadro M6000 24 GB vs NVIDIA Tesla M6

VS

NVIDIA Quadro M6000 24 GB NVIDIA Tesla M6

We compared two Professional market GPUs: 24GB VRAM Quadro M6000 24 GB and 8GB VRAM Tesla M6 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Quadro M6000 24 GB 's Advantages

Released 7 months late

More VRAM (24GB vs 8GB)

Larger VRAM bandwidth (317.4GB/s vs 160.4GB/s)

1536 additional rendering cores

NVIDIA Tesla M6 's Advantages

Boost Clock has increased by 6% (1180MHz vs 1114MHz)

Lower TDP (100W vs 250W)

Score

Benchmark

FP32 (float)

Quadro M6000 24 GB +88%

6.844 TFLOPS

Tesla M6

3.625 TFLOPS

Quadro M6000 24 GB

VS

Tesla M6

Graphics Card

Mar 2016

Release Date

Aug 2015

Quadro

Generation

Tesla

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

988 MHz

Base Clock

930 MHz

1114 MHz

Boost Clock

1180 MHz

1653 MHz

Memory Clock

1253 MHz

Memory

24GB

Memory Size

8GB

GDDR5

Memory Type

GDDR5

384bit

Memory Bus

256bit

317.4GB/s

Bandwidth

160.4GB/s

Render Config

-

SM Count

-

Compute Units

-

3072

Shading Units

1536

256

TMUs

96

ROPs

64

-

Tensor Cores

-

RT Cores

-

48 KB (per SMM)

L1 Cache

48 KB (per SMM)

3 MB

L2 Cache

2 MB

Theoretical Performance

106.9 GPixel/s

Pixel Rate

75.52 GPixel/s

285.2 GTexel/s

Texture Rate

113.3 GTexel/s

-

FP16 (half)

-

6.844 TFLOPS

FP32 (float)

3.625 TFLOPS

213.9 GFLOPS

FP64 (double)

113.3 GFLOPS

Graphics Processor

GM200

GPU Name

GM204

GM200-880-A1

GPU Variant

GM204-995-A1

Maxwell 2.0

Architecture

Maxwell 2.0

TSMC

Foundry

TSMC

28 nm

Process Size

28 nm

8 billion

Transistors

5.2 billion

601 mm²

Die Size

398 mm²

Board Design

250W

TDP

100W

600 W

Suggested PSU

300 W

1x DVI 4x DisplayPort 1.4a

Outputs

No outputs

1x 8-pin

Power Connectors

None

Graphics Features

12 (12_1)

DirectX

12 (12_1)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.3

Vulkan

1.3

5.2

CUDA

5.2

6.4

Shader Model

6.4

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