NVIDIA GRID M6 8Q vs NVIDIA Tesla K40st

VS

NVIDIA GRID M6 8Q

NVIDIA Tesla K40st

We compared two Professional market GPUs: 8GB VRAM GRID M6 8Q and 12GB VRAM Tesla K40st to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA GRID M6 8Q 's Advantages

Released 1 years and 9 months late

Lower TDP (100W vs 245W)

NVIDIA Tesla K40st 's Advantages

More VRAM (12GB vs 8GB)

Larger VRAM bandwidth (288.4GB/s vs 160.4GB/s)

1344 additional rendering cores

Score

Benchmark

FP32 (float)

GRID M6 8Q

2.218 TFLOPS

Tesla K40st +49%

3.312 TFLOPS

GRID M6 8Q

VS

Tesla K40st

Graphics Card

Aug 2015

Release Date

Nov 2013

GRID

Generation

Tesla

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

-

1253 MHz

Memory Clock

1502 MHz

Memory

8GB

Memory Size

12GB

GDDR5

Memory Type

GDDR5

256bit

Memory Bus

384bit

160.4GB/s

Bandwidth

288.4GB/s

Render Config

-

1536

Shading Units

2880

96

TMUs

240

64

ROPs

48

-

48 KB (per SMM)

L1 Cache

16 KB (per SMX)

2 MB

L2 Cache

1536 KB

-

Theoretical Performance

46.21 GPixel/s

Pixel Rate

34.50 GPixel/s

69.31 GTexel/s

Texture Rate

138.0 GTexel/s

-

2.218 TFLOPS

FP32 (float)

3.312 TFLOPS

69.31 GFLOPS

FP64 (double)

1104 GFLOPS

Board Design

100W

TDP

245W

300 W

Suggested PSU

550 W

No outputs

Outputs

No outputs

None

Power Connectors

-

Graphics Processor

GM204

GPU Name

GK110B

GM204-995-A1

GPU Variant

-

Maxwell 2.0

Architecture

Kepler

TSMC

Foundry

TSMC

28 nm

Process Size

28 nm

5.2 billion

Transistors

7.08 billion

398 mm²

Die Size

561 mm²

Graphics Features

12 (12_1)

DirectX

12 (11_1)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.3

Vulkan

1.1

5.2

CUDA

3.5

6.4

Shader Model

5.1

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