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

NVIDIA Tesla K20c vs Intel Data Center GPU Flex 140

We compared two Professional market GPUs: 5GB VRAM Tesla K20c 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 Tesla K20c 's Advantages
Larger VRAM bandwidth (208.0GB/s vs 186.0GB/s)
1472 additional rendering cores
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)

Score

Benchmark

FP32 (float)
Tesla K20c
3.524 TFLOPS
Data Center GPU Flex 140 +13%
3.994 TFLOPS

Graphics Card

Nov 2012
Release Date
Aug 2022
Tesla
Generation
Data Center GPU
Professional
Type
Professional
PCIe 2.0 x16
Bus Interface
PCIe 4.0 x8

Clock Speeds

-
Base Clock
1600 MHz
-
Boost Clock
1950 MHz
1300 MHz
Memory Clock
1937 MHz

Memory

5GB
Memory Size
6GB
GDDR5
Memory Type
GDDR6
320bit
Memory Bus
96bit
208.0GB/s
Bandwidth
186.0GB/s

Render Config

-
-
-
-
-
-
2496
Shading Units
1024
208
TMUs
64
40
ROPs
32
-
-
-
-
RT Cores
8
16 KB (per SMX)
L1 Cache
-
1280 KB
L2 Cache
4 MB
-
-
-

Theoretical Performance

36.71 GPixel/s
Pixel Rate
62.40 GPixel/s
146.8 GTexel/s
Texture Rate
124.8 GTexel/s
-
FP16 (half)
7.987 TFLOPS
3.524 TFLOPS
FP32 (float)
3.994 TFLOPS
1175 GFLOPS
FP64 (double)
-

Board Design

225W
TDP
75W
550 W
Suggested PSU
250 W
No outputs
Outputs
1x HDMI 2.1 3x DisplayPort 2.0
1x 6-pin + 1x 8-pin
Power Connectors
1x 8-pin

Graphics Processor

GK110
GPU Name
DG2-128
GK110-885-KA-A1
GPU Variant
ACM-G11
Kepler
Architecture
Generation 12.7
TSMC
Foundry
TSMC
28 nm
Process Size
6 nm
7.08 billion
Transistors
7.2 billion
561 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
3.5
CUDA
-
5.1
Shader Model
6.6
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