NVIDIA Quadro K100M vs Intel Data Center GPU Flex 140

VS

NVIDIA Quadro K100M

Intel Data Center GPU Flex 140

We compared two Professional market GPUs: 1024MB VRAM Quadro K100M and 6GB VRAM Data Center GPU Flex 140 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Quadro K100M 's Advantages

Lower TDP (35W vs 75W)

Intel Data Center GPU Flex 140 's Advantages

Released 8 years late

Boost Clock1950MHz

More VRAM (6GB vs 1024GB)

Larger VRAM bandwidth (186.0GB/s vs 12.80GB/s)

832 additional rendering cores

Score

Benchmark

FP32 (float)

Quadro K100M

0.326 TFLOPS

Data Center GPU Flex 140 +1125%

3.994 TFLOPS

Quadro K100M

VS

Data Center GPU Flex 140

Graphics Card

Aug 2014

Release Date

Aug 2022

Quadro Mobile

Generation

Data Center GPU

Professional

Type

Professional

MXM-A (3.0)

Bus Interface

PCIe 4.0 x8

Clock Speeds

-

Base Clock

1600 MHz

-

Boost Clock

1950 MHz

800 MHz

Memory Clock

1937 MHz

Memory

1024MB

Memory Size

6GB

DDR3

Memory Type

GDDR6

64bit

Memory Bus

96bit

12.80GB/s

Bandwidth

186.0GB/s

Render Config

-

192

Shading Units

1024

16

TMUs

64

8

ROPs

32

-

RT Cores

8

16 KB (per SMX)

L1 Cache

-

128 KB

L2 Cache

4 MB

-

Theoretical Performance

3.400 GPixel/s

Pixel Rate

62.40 GPixel/s

13.60 GTexel/s

Texture Rate

124.8 GTexel/s

-

FP16 (half)

7.987 TFLOPS

326.4 GFLOPS

FP32 (float)

3.994 TFLOPS

13.60 GFLOPS

FP64 (double)

-

Board Design

35W

TDP

75W

-

Suggested PSU

250 W

No outputs

Outputs

1x HDMI 2.1 3x DisplayPort 2.0

-

Power Connectors

1x 8-pin

Graphics Processor

GK107

GPU Name

DG2-128

N14M-Q1

GPU Variant

ACM-G11

Kepler

Architecture

Generation 12.7

TSMC

Foundry

TSMC

28 nm

Process Size

6 nm

1.27 billion

Transistors

7.2 billion

118 mm²

Die Size

157 mm²

Graphics Features

12 (11_0)

DirectX

12 Ultimate (12_2)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.1

Vulkan

1.3

3.0

CUDA

-

5.1

Shader Model

6.6

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