NVIDIA Tesla C2090 vs NVIDIA GRID K220Q

VS

NVIDIA Tesla C2090 NVIDIA GRID K220Q

We compared two Professional market GPUs: 6GB VRAM Tesla C2090 and 512MB VRAM GRID K220Q to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla C2090 's Advantages

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

NVIDIA GRID K220Q 's Advantages

Released 3 years late

1024 additional rendering cores

Lower TDP (225W vs 250W)

Score

Benchmark

FP32 (float)

Tesla C2090

1.332 TFLOPS

GRID K220Q +71%

2.289 TFLOPS

Tesla C2090

VS

GRID K220Q

Graphics Card

Jul 2011

Release Date

Jul 2014

Tesla

Generation

GRID

Professional

Type

Professional

PCIe 2.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

-

Base Clock

-

Boost Clock

-

924 MHz

Memory Clock

1250 MHz

Memory

6GB

Memory Size

512MB

GDDR5

Memory Type

GDDR5

384bit

Memory Bus

256bit

177.4GB/s

Bandwidth

160.0GB/s

Render Config

16

SM Count

-

Compute Units

-

512

Shading Units

1536

64

TMUs

128

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

23.84 GPixel/s

41.66 GTexel/s

Texture Rate

95.36 GTexel/s

-

FP16 (half)

-

1332 GFLOPS

FP32 (float)

2.289 TFLOPS

666.1 GFLOPS

FP64 (double)

95.36 GFLOPS

Graphics Processor

GF110

GPU Name

GK104

-

GPU Variant

-

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

225W

600 W

Suggested PSU

550 W

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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