NVIDIA Tesla K40m vs Intel Data Center GPU Flex 170

VS

NVIDIA Tesla K40m

Intel Data Center GPU Flex 170

We compared two Professional market GPUs: 12GB VRAM Tesla K40m and 16GB VRAM Data Center GPU Flex 170 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

Intel Data Center GPU Flex 170 's Advantages

Released 8 years and 9 months late

Boost Clock has increased by 134% (2050MHz vs 876MHz)

More VRAM (16GB vs 12GB)

Larger VRAM bandwidth (512.0GB/s vs 288.4GB/s)

1216 additional rendering cores

Lower TDP (150W vs 245W)

Score

Benchmark

FP32 (float)

Tesla K40m

5.046 TFLOPS

Data Center GPU Flex 170 +232%

16.79 TFLOPS

Tesla K40m

VS

Data Center GPU Flex 170

Graphics Card

Nov 2013

Release Date

Aug 2022

Tesla

Generation

Data Center GPU

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 4.0 x16

Clock Speeds

745 MHz

Base Clock

1950 MHz

876 MHz

Boost Clock

2050 MHz

1502 MHz

Memory Clock

2000 MHz

Memory

12GB

Memory Size

16GB

GDDR5

Memory Type

GDDR6

384bit

Memory Bus

256bit

288.4GB/s

Bandwidth

512.0GB/s

Render Config

-

2880

Shading Units

4096

240

TMUs

256

48

ROPs

128

-

RT Cores

32

16 KB (per SMX)

L1 Cache

-

1536 KB

L2 Cache

16 MB

-

Theoretical Performance

52.56 GPixel/s

Pixel Rate

262.4 GPixel/s

210.2 GTexel/s

Texture Rate

524.8 GTexel/s

-

FP16 (half)

33.59 TFLOPS

5.046 TFLOPS

FP32 (float)

16.79 TFLOPS

1.682 TFLOPS

FP64 (double)

-

Board Design

245W

TDP

150W

550 W

Suggested PSU

450 W

No outputs

Outputs

1x HDMI 2.1 3x DisplayPort 2.0

-

Power Connectors

1x 8-pin

Graphics Processor

GK110B

GPU Name

DG2-512

-

GPU Variant

ACM-G10

Kepler

Architecture

Generation 12.7

TSMC

Foundry

TSMC

28 nm

Process Size

6 nm

7.08 billion

Transistors

21.7 billion

561 mm²

Die Size

406 mm²

Graphics Features

12 (11_1)

DirectX

12 Ultimate (12_2)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.1

Vulkan

1.3

3.5

CUDA

-

5.1

Shader Model

6.6

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