NVIDIA GRID K540Q vs NVIDIA Tesla M2090

VS

NVIDIA GRID K540Q NVIDIA Tesla M2090

We compared two Professional market GPUs: 4GB VRAM GRID K540Q and 6GB VRAM Tesla M2090 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA GRID K540Q 's Advantages

Released 3 years late

1024 additional rendering cores

Lower TDP (225W vs 250W)

NVIDIA Tesla M2090 's Advantages

More VRAM (6GB vs 4GB)

Larger VRAM bandwidth (177.4GB/s vs 160.0GB/s)

Score

Benchmark

FP32 (float)

GRID K540Q +71%

2.289 TFLOPS

Tesla M2090

1.332 TFLOPS

GRID K540Q

VS

Tesla M2090

Graphics Card

Jul 2014

Release Date

Jul 2011

GRID

Generation

Tesla

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 2.0 x16

Clock Speeds

-

Base Clock

-

Boost Clock

-

1250 MHz

Memory Clock

924 MHz

Memory

4GB

Memory Size

6GB

GDDR5

Memory Type

GDDR5

256bit

Memory Bus

384bit

160.0GB/s

Bandwidth

177.4GB/s

Render Config

-

SM Count

16

-

Compute Units

-

1536

Shading Units

512

128

TMUs

64

32

ROPs

48

-

Tensor Cores

-

RT Cores

-

16 KB (per SMX)

L1 Cache

64 KB (per SM)

512 KB

L2 Cache

768 KB

Theoretical Performance

23.84 GPixel/s

Pixel Rate

20.83 GPixel/s

95.36 GTexel/s

Texture Rate

41.66 GTexel/s

-

FP16 (half)

-

2.289 TFLOPS

FP32 (float)

1332 GFLOPS

95.36 GFLOPS

FP64 (double)

666.1 GFLOPS

Graphics Processor

GK104

GPU Name

GF110

-

GPU Variant

-

Kepler

Architecture

Fermi 2.0

TSMC

Foundry

TSMC

28 nm

Process Size

40 nm

3.54 billion

Transistors

3 billion

294 mm²

Die Size

520 mm²

Board Design

225W

TDP

250W

550 W

Suggested PSU

600 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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