NVIDIA Tesla K20s vs NVIDIA GRID M60 8Q

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We compared two Professional market GPUs: 5GB VRAM Tesla K20s and 8GB VRAM GRID M60 8Q to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla K20s 's Advantages

Larger VRAM bandwidth (208.0GB/s vs 160.4GB/s)

448 additional rendering cores

NVIDIA GRID M60 8Q 's Advantages

Released 2 years and 6 months late

Boost Clock1178MHz

More VRAM (8GB vs 5GB)

Score

Benchmark

FP32 (float)

Tesla K20s

2.87 TFLOPS

GRID M60 8Q +68%

4.825 TFLOPS

Tesla K20s

VS

GRID M60 8Q

Graphics Card

Feb 2013

Release Date

Aug 2015

Tesla

Generation

GRID

Professional

Type

Professional

PCIe 2.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

-

Base Clock

557 MHz

-

Boost Clock

1178 MHz

1300 MHz

Memory Clock

1253 MHz

Memory

5GB

Memory Size

8GB

GDDR5

Memory Type

GDDR5

320bit

Memory Bus

256bit

208.0GB/s

Bandwidth

160.4GB/s

Render Config

-

SM Count

-

Compute Units

-

2496

Shading Units

2048

208

TMUs

128

40

ROPs

64

-

Tensor Cores

-

RT Cores

-

16 KB (per SMX)

L1 Cache

48 KB (per SMM)

1280 KB

L2 Cache

2 MB

Theoretical Performance

29.90 GPixel/s

Pixel Rate

75.39 GPixel/s

119.6 GTexel/s

Texture Rate

150.8 GTexel/s

-

FP16 (half)

-

2.870 TFLOPS

FP32 (float)

4.825 TFLOPS

956.8 GFLOPS

FP64 (double)

150.8 GFLOPS

Graphics Processor

GK110

GPU Name

GM204

-

GPU Variant

-

Kepler

Architecture

Maxwell 2.0

TSMC

Foundry

TSMC

28 nm

Process Size

28 nm

7.08 billion

Transistors

5.2 billion

561 mm²

Die Size

398 mm²

Board Design

225W

TDP

225W

550 W

Suggested PSU

550 W

No outputs

Outputs

No outputs

-

Power Connectors

1x 8-pin

Graphics Features

12 (11_0)

DirectX

12 (12_1)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.1

Vulkan

1.3

3.5

CUDA

5.2

5.1

Shader Model

6.4

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