NVIDIA Tesla C2090 vs NVIDIA GRID K160Q

VS

NVIDIA Tesla C2090 NVIDIA GRID K160Q

We compared two Professional market GPUs: 6GB VRAM Tesla C2090 and 1024MB VRAM GRID K160Q 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 1GB)

Larger VRAM bandwidth (177.4GB/s vs 28.51GB/s)

320 additional rendering cores

NVIDIA GRID K160Q 's Advantages

Released 1 years and 11 months late

Lower TDP (130W vs 250W)

Score

Benchmark

FP32 (float)

Tesla C2090 +308%

1.332 TFLOPS

GRID K160Q

0.326 TFLOPS

Tesla C2090

VS

GRID K160Q

Graphics Card

Jul 2011

Release Date

Jun 2013

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

891 MHz

Memory

6GB

Memory Size

1024MB

GDDR5

Memory Type

DDR3

384bit

Memory Bus

128bit

177.4GB/s

Bandwidth

28.51GB/s

Render Config

16

SM Count

-

Compute Units

-

512

Shading Units

192

64

TMUs

16

48

ROPs

16

-

Tensor Cores

-

RT Cores

-

64 KB (per SM)

L1 Cache

16 KB (per SMX)

768 KB

L2 Cache

256 KB

Theoretical Performance

20.83 GPixel/s

Pixel Rate

3.400 GPixel/s

41.66 GTexel/s

Texture Rate

13.60 GTexel/s

-

FP16 (half)

-

1332 GFLOPS

FP32 (float)

326.4 GFLOPS

666.1 GFLOPS

FP64 (double)

13.60 GFLOPS

Graphics Processor

GF110

GPU Name

GK107

-

GPU Variant

-

Fermi 2.0

Architecture

Kepler

TSMC

Foundry

TSMC

40 nm

Process Size

28 nm

3 billion

Transistors

1.27 billion

520 mm²

Die Size

118 mm²

Board Design

250W

TDP

130W

600 W

Suggested PSU

300 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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