Home GPU Comparison Intel Data Center GPU Flex 140 vs NVIDIA Tesla K40m

Intel Data Center GPU Flex 140 vs NVIDIA Tesla K40m

We compared two Professional market GPUs: 6GB VRAM Data Center GPU Flex 140 and 12GB VRAM Tesla K40m 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 8 years and 9 months late
Boost Clock has increased by 123% (1950MHz vs 876MHz)
Lower TDP (75W vs 245W)
NVIDIA Tesla K40m 's Advantages
More VRAM (12GB vs 6GB)
Larger VRAM bandwidth (288.4GB/s vs 186.0GB/s)
1856 additional rendering cores

Score

Benchmark

FP32 (float)
Data Center GPU Flex 140
3.994 TFLOPS
Tesla K40m +26%
5.046 TFLOPS
VS

Graphics Card

Aug 2022
Release Date
Nov 2013
Data Center GPU
Generation
Tesla
Professional
Type
Professional
PCIe 4.0 x8
Bus Interface
PCIe 3.0 x16

Clock Speeds

1600 MHz
Base Clock
745 MHz
1950 MHz
Boost Clock
876 MHz
1937 MHz
Memory Clock
1502 MHz

Memory

6GB
Memory Size
12GB
GDDR6
Memory Type
GDDR5
96bit
Memory Bus
384bit
186.0GB/s
Bandwidth
288.4GB/s

Render Config

-
-
-
-
-
-
1024
Shading Units
2880
64
TMUs
240
32
ROPs
48
-
-
-
8
RT Cores
-
-
L1 Cache
16 KB (per SMX)
4 MB
L2 Cache
1536 KB
-
-
-

Theoretical Performance

62.40 GPixel/s
Pixel Rate
52.56 GPixel/s
124.8 GTexel/s
Texture Rate
210.2 GTexel/s
7.987 TFLOPS
FP16 (half)
-
3.994 TFLOPS
FP32 (float)
5.046 TFLOPS
-
FP64 (double)
1.682 TFLOPS

Board Design

75W
TDP
245W
250 W
Suggested PSU
550 W
1x HDMI 2.1 3x DisplayPort 2.0
Outputs
No outputs
1x 8-pin
Power Connectors
-

Graphics Processor

DG2-128
GPU Name
GK110B
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_1)
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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