NVIDIA Tesla K20s vs NVIDIA Quadro T1000 Max Q

VS

NVIDIA Tesla K20s NVIDIA Quadro T1000 Max Q

We compared two Professional market GPUs: 5GB VRAM Tesla K20s and 4GB VRAM Quadro T1000 Max Q to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla K20s 's Advantages

More VRAM (5GB vs 4GB)

Larger VRAM bandwidth (208.0GB/s vs 80.00GB/s)

1600 additional rendering cores

NVIDIA Quadro T1000 Max Q 's Advantages

Released 6 years and 3 months late

Boost Clock1350MHz

Lower TDP (50W vs 225W)

Score

Benchmark

FP32 (float)

Tesla K20s +18%

2.87 TFLOPS

Quadro T1000 Max Q

2.419 TFLOPS

Tesla K20s

VS

Quadro T1000 Max Q

Graphics Card

Feb 2013

Release Date

May 2019

Tesla

Generation

Quadro Mobile

Professional

Type

Professional

PCIe 2.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

-

Base Clock

765 MHz

-

Boost Clock

1350 MHz

1300 MHz

Memory Clock

1250 MHz

Memory

5GB

Memory Size

4GB

GDDR5

Memory Type

GDDR5

320bit

Memory Bus

128bit

208.0GB/s

Bandwidth

80.00GB/s

Render Config

-

SM Count

14

-

Compute Units

-

2496

Shading Units

896

208

TMUs

56

40

ROPs

32

-

Tensor Cores

-

RT Cores

-

16 KB (per SMX)

L1 Cache

64 KB (per SM)

1280 KB

L2 Cache

1024 KB

Theoretical Performance

29.90 GPixel/s

Pixel Rate

43.20 GPixel/s

119.6 GTexel/s

Texture Rate

75.60 GTexel/s

-

FP16 (half)

4.838 TFLOPS

2.870 TFLOPS

FP32 (float)

2.419 TFLOPS

956.8 GFLOPS

FP64 (double)

75.60 GFLOPS

Graphics Processor

GK110

GPU Name

TU117

-

GPU Variant

-

Kepler

Architecture

Turing

TSMC

Foundry

TSMC

28 nm

Process Size

12 nm

7.08 billion

Transistors

4.7 billion

561 mm²

Die Size

200 mm²

Board Design

225W

TDP

50W

550 W

Suggested PSU

-

No outputs

Outputs

No outputs

-

Power Connectors

None

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

7.5

5.1

Shader Model

6.6

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