NVIDIA Tesla K40d vs NVIDIA GRID M6 8Q

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We compared two Professional market GPUs: 12GB VRAM Tesla K40d and 8GB VRAM GRID M6 8Q to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla K40d 's Advantages

Boost Clock876MHz

More VRAM (12GB vs 8GB)

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

1344 additional rendering cores

NVIDIA GRID M6 8Q 's Advantages

Released 1 years and 9 months late

Lower TDP (100W vs 245W)

Score

Benchmark

FP32 (float)

Tesla K40d +127%

5.046 TFLOPS

GRID M6 8Q

2.218 TFLOPS

Tesla K40d

VS

GRID M6 8Q

Graphics Card

Nov 2013

Release Date

Aug 2015

Tesla

Generation

GRID

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

745 MHz

Base Clock

-

876 MHz

Boost Clock

-

1502 MHz

Memory Clock

1253 MHz

Memory

12GB

Memory Size

8GB

GDDR5

Memory Type

GDDR5

384bit

Memory Bus

256bit

288.4GB/s

Bandwidth

160.4GB/s

Render Config

-

SM Count

-

Compute Units

-

2880

Shading Units

1536

240

TMUs

96

48

ROPs

64

-

Tensor Cores

-

RT Cores

-

16 KB (per SMX)

L1 Cache

48 KB (per SMM)

1536 KB

L2 Cache

2 MB

Theoretical Performance

52.56 GPixel/s

Pixel Rate

46.21 GPixel/s

210.2 GTexel/s

Texture Rate

69.31 GTexel/s

-

FP16 (half)

-

5.046 TFLOPS

FP32 (float)

2.218 TFLOPS

1.682 TFLOPS

FP64 (double)

69.31 GFLOPS

Graphics Processor

GK110B

GPU Name

GM204

-

GPU Variant

GM204-995-A1

Kepler

Architecture

Maxwell 2.0

TSMC

Foundry

TSMC

28 nm

Process Size

28 nm

7.08 billion

Transistors

5.2 billion

561 mm²

Die Size

398 mm²

Board Design

245W

TDP

100W

550 W

Suggested PSU

300 W

No outputs

Outputs

No outputs

-

Power Connectors

None

Graphics Features

12 (11_1)

DirectX

12 (12_1)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.1

Vulkan

1.3

3.5

CUDA

5.2

5.1

Shader Model

6.4

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