NVIDIA Tesla K20Xm vs Intel Data Center GPU Flex 140
We compared two Professional market GPUs: 6GB VRAM Tesla K20Xm 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 K20Xm 's Advantages
Larger VRAM bandwidth (249.6GB/s vs 186.0GB/s)
1664 additional rendering cores
Intel Data Center GPU Flex 140 's Advantages
Released 9 years and 9 months late
Boost Clock1950MHz
Lower TDP (75W vs 235W)
Score
Benchmark
FP32 (float)
Tesla K20Xm
3.935 TFLOPS
Data Center GPU Flex 140
+1%
3.994 TFLOPS
Graphics Card
Nov 2012
Release Date
Aug 2022
Tesla
Generation
Data Center GPU
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
PCIe 4.0 x8
Clock Speeds
-
Base Clock
1600 MHz
-
Boost Clock
1950 MHz
1300 MHz
Memory Clock
1937 MHz
Memory
6GB
Memory Size
6GB
GDDR5
Memory Type
GDDR6
384bit
Memory Bus
96bit
249.6GB/s
Bandwidth
186.0GB/s
Render Config
-
-
-
-
-
-
2688
Shading Units
1024
224
TMUs
64
48
ROPs
32
-
-
-
-
RT Cores
8
16 KB (per SMX)
L1 Cache
-
1536 KB
L2 Cache
4 MB
-
-
-
Theoretical Performance
40.99 GPixel/s
Pixel Rate
62.40 GPixel/s
164.0 GTexel/s
Texture Rate
124.8 GTexel/s
-
FP16 (half)
7.987 TFLOPS
3.935 TFLOPS
FP32 (float)
3.994 TFLOPS
1312 GFLOPS
FP64 (double)
-
Board Design
235W
TDP
75W
550 W
Suggested PSU
250 W
No outputs
Outputs
1x HDMI 2.1
3x DisplayPort 2.0
-
Power Connectors
1x 8-pin
Graphics Processor
GK110
GPU Name
DG2-128
-
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
