NVIDIA Tesla C2090 vs NVIDIA Quadro K5000M

VS

NVIDIA Tesla C2090 NVIDIA Quadro K5000M

We compared two Professional market GPUs: 6GB VRAM Tesla C2090 and 4GB VRAM Quadro K5000M to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla C2090 's Advantages

More VRAM (6GB vs 4GB)

Larger VRAM bandwidth (177.4GB/s vs 96.00GB/s)

NVIDIA Quadro K5000M 's Advantages

Released 1 years and 1 months late

832 additional rendering cores

Lower TDP (100W vs 250W)

Score

Benchmark

FP32 (float)

Tesla C2090

1.332 TFLOPS

Quadro K5000M +21%

1.615 TFLOPS

Tesla C2090

VS

Quadro K5000M

Graphics Card

Jul 2011

Release Date

Aug 2012

Tesla

Generation

Quadro Mobile

Professional

Type

Professional

PCIe 2.0 x16

Bus Interface

MXM-B (3.0)

Clock Speeds

-

Base Clock

-

Boost Clock

-

924 MHz

Memory Clock

750 MHz

Memory

6GB

Memory Size

4GB

GDDR5

Memory Type

GDDR5

384bit

Memory Bus

256bit

177.4GB/s

Bandwidth

96.00GB/s

Render Config

16

SM Count

-

Compute Units

-

512

Shading Units

1344

64

TMUs

112

48

ROPs

32

-

Tensor Cores

-

RT Cores

-

64 KB (per SM)

L1 Cache

16 KB (per SMX)

768 KB

L2 Cache

512 KB

Theoretical Performance

20.83 GPixel/s

Pixel Rate

16.83 GPixel/s

41.66 GTexel/s

Texture Rate

67.31 GTexel/s

-

FP16 (half)

-

1332 GFLOPS

FP32 (float)

1.615 TFLOPS

666.1 GFLOPS

FP64 (double)

67.31 GFLOPS

Graphics Processor

GF110

GPU Name

GK104

-

GPU Variant

N14E-Q5-A2

Fermi 2.0

Architecture

Kepler

TSMC

Foundry

TSMC

40 nm

Process Size

28 nm

3 billion

Transistors

3.54 billion

520 mm²

Die Size

294 mm²

Board Design

250W

TDP

100W

600 W

Suggested PSU

-

No outputs

Outputs

No outputs

-

Power Connectors

-

Graphics Features

12 (11_0)

DirectX

12 (11_0)

4.6

OpenGL

4.6

1.1

OpenCL

3.0

N/A

Vulkan

1.1

2.0

CUDA

3.0

5.1

Shader Model

5.1

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