Home GPU Comparison Intel Data Center GPU Flex 140 vs NVIDIA Tesla K20c

Intel Data Center GPU Flex 140 vs NVIDIA Tesla K20c

We compared two Professional market GPUs: 6GB VRAM Data Center GPU Flex 140 and 5GB VRAM Tesla K20c 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 9 months late
Boost Clock1950MHz
More VRAM (6GB vs 5GB)
Lower TDP (75W vs 225W)
NVIDIA Tesla K20c '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 K20c
3.524 TFLOPS
VS

Graphics Card

Aug 2022
Release Date
Nov 2012
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
GK110-885-KA-A1
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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