NVIDIA Tesla K40d vs NVIDIA Tesla C2090

VS

NVIDIA Tesla K40d NVIDIA Tesla C2090

We compared two Professional market GPUs: 12GB VRAM Tesla K40d and 6GB VRAM Tesla C2090 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla K40d 's Advantages

Released 2 years and 4 months late

Boost Clock876MHz

More VRAM (12GB vs 6GB)

Larger VRAM bandwidth (288.4GB/s vs 177.4GB/s)

2368 additional rendering cores

Lower TDP (245W vs 250W)

Score

Benchmark

FP32 (float)

Tesla K40d +278%

5.046 TFLOPS

Tesla C2090

1.332 TFLOPS

Tesla K40d

VS

Tesla C2090

Graphics Card

Nov 2013

Release Date

Jul 2011

Tesla

Generation

Tesla

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 2.0 x16

Clock Speeds

745 MHz

Base Clock

-

876 MHz

Boost Clock

-

1502 MHz

Memory Clock

924 MHz

Memory

12GB

Memory Size

6GB

GDDR5

Memory Type

GDDR5

384bit

Memory Bus

384bit

288.4GB/s

Bandwidth

177.4GB/s

Render Config

-

SM Count

16

-

Compute Units

-

2880

Shading Units

512

240

TMUs

64

48

ROPs

48

-

Tensor Cores

-

RT Cores

-

16 KB (per SMX)

L1 Cache

64 KB (per SM)

1536 KB

L2 Cache

768 KB

Theoretical Performance

52.56 GPixel/s

Pixel Rate

20.83 GPixel/s

210.2 GTexel/s

Texture Rate

41.66 GTexel/s

-

FP16 (half)

-

5.046 TFLOPS

FP32 (float)

1332 GFLOPS

1.682 TFLOPS

FP64 (double)

666.1 GFLOPS

Graphics Processor

GK110B

GPU Name

GF110

-

GPU Variant

-

Kepler

Architecture

Fermi 2.0

TSMC

Foundry

TSMC

28 nm

Process Size

40 nm

7.08 billion

Transistors

3 billion

561 mm²

Die Size

520 mm²

Board Design

245W

TDP

250W

550 W

Suggested PSU

600 W

No outputs

Outputs

No outputs

-

Power Connectors

-

Graphics Features

12 (11_1)

DirectX

12 (11_0)

4.6

OpenGL

4.6

3.0

OpenCL

1.1

Vulkan

N/A

3.5

CUDA

2.0

5.1

Shader Model

5.1

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