NVIDIA GRID K220Q vs NVIDIA Tesla M1060

VS

We compared two Professional market GPUs: 512MB VRAM GRID K220Q and 2GB VRAM Tesla M1060 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA GRID K220Q 's Advantages

Released 6 years and 1 months late

Larger VRAM bandwidth (160.0GB/s vs 102.4GB/s)

1296 additional rendering cores

NVIDIA Tesla M1060 's Advantages

Lower TDP (188W vs 225W)

Score

Benchmark

FP32 (float)

GRID K220Q +268%

2.289 TFLOPS

Tesla M1060

0.622 TFLOPS

GRID K220Q

VS

Tesla M1060

Graphics Card

Jul 2014

Release Date

Jun 2008

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

800 MHz

Memory

512MB

Memory Size

2GB

GDDR5

Memory Type

GDDR3

256bit

Memory Bus

512bit

160.0GB/s

Bandwidth

102.4GB/s

Render Config

-

SM Count

30

-

Compute Units

-

1536

Shading Units

240

128

TMUs

80

32

ROPs

32

-

Tensor Cores

-

RT Cores

-

16 KB (per SMX)

L1 Cache

-

512 KB

L2 Cache

256 KB

Theoretical Performance

23.84 GPixel/s

Pixel Rate

19.52 GPixel/s

95.36 GTexel/s

Texture Rate

48.80 GTexel/s

-

FP16 (half)

-

2.289 TFLOPS

FP32 (float)

622.1 GFLOPS

95.36 GFLOPS

FP64 (double)

77.76 GFLOPS

Graphics Processor

GK104

GPU Name

GT200B

-

GPU Variant

-

Kepler

Architecture

Tesla 2.0

TSMC

Foundry

TSMC

28 nm

Process Size

55 nm

3.54 billion

Transistors

1.4 billion

294 mm²

Die Size

470 mm²

Board Design

225W

TDP

188W

550 W

Suggested PSU

450 W

No outputs

Outputs

No outputs

-

Power Connectors

1x 6-pin + 1x 8-pin

Graphics Features

12 (11_0)

DirectX

11.1 (10_0)

4.6

OpenGL

3.3

3.0

OpenCL

1.1

Vulkan

N/A

3.0

CUDA

1.3

5.1

Shader Model

4.0

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