Intel Data Center GPU Flex 140 vs NVIDIA Tesla K20m

VS

Intel Data Center GPU Flex 140

NVIDIA Tesla K20m

We compared two Professional market GPUs: 6GB VRAM Data Center GPU Flex 140 and 5GB VRAM Tesla K20m to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

Intel Data Center GPU Flex 140 's Advantages

Released 9 years and 7 months late

Boost Clock1950MHz

More VRAM (6GB vs 5GB)

Lower TDP (75W vs 225W)

NVIDIA Tesla K20m 's Advantages

Larger VRAM bandwidth (208.0GB/s vs 186.0GB/s)

1472 additional rendering cores

Score

Benchmark

FP32 (float)

Data Center GPU Flex 140 +13%

3.994 TFLOPS

Tesla K20m

3.524 TFLOPS

Data Center GPU Flex 140

VS

Tesla K20m

Graphics Card

Aug 2022

Release Date

Jan 2013

Data Center GPU

Generation

Tesla

Professional

Type

Professional

PCIe 4.0 x8

Bus Interface

PCIe 2.0 x16

Clock Speeds

1600 MHz

Base Clock

-

1950 MHz

Boost Clock

-

1937 MHz

Memory Clock

1300 MHz

Memory

6GB

Memory Size

5GB

GDDR6

Memory Type

GDDR5

96bit

Memory Bus

320bit

186.0GB/s

Bandwidth

208.0GB/s

Render Config

-

1024

Shading Units

2496

64

TMUs

208

32

ROPs

40

-

8

RT Cores

-

L1 Cache

16 KB (per SMX)

4 MB

L2 Cache

1280 KB

-

Theoretical Performance

62.40 GPixel/s

Pixel Rate

36.71 GPixel/s

124.8 GTexel/s

Texture Rate

146.8 GTexel/s

7.987 TFLOPS

FP16 (half)

-

3.994 TFLOPS

FP32 (float)

3.524 TFLOPS

-

FP64 (double)

1175 GFLOPS

Board Design

75W

TDP

225W

250 W

Suggested PSU

550 W

1x HDMI 2.1 3x DisplayPort 2.0

Outputs

No outputs

1x 8-pin

Power Connectors

1x 6-pin + 1x 8-pin

Graphics Processor

DG2-128

GPU Name

GK110

ACM-G11

GPU Variant

-

Generation 12.7

Architecture

Kepler

TSMC

Foundry

TSMC

6 nm

Process Size

28 nm

7.2 billion

Transistors

7.08 billion

157 mm²

Die Size

561 mm²

Graphics Features

12 Ultimate (12_2)

DirectX

12 (11_0)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.3

Vulkan

1.1

-

CUDA

3.5

6.6

Shader Model

5.1

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