Intel Data Center GPU Flex 140 vs NVIDIA Tesla C2075
We compared two Professional market GPUs: 6GB VRAM Data Center GPU Flex 140 and 6GB VRAM Tesla C2075 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 11 years and 1 months late
Boost Clock1950MHz
Larger VRAM bandwidth (186.0GB/s vs 150.3GB/s)
576 additional rendering cores
Lower TDP (75W vs 247W)
Score
Benchmark
FP32 (float)
Data Center GPU Flex 140
+288%
3.994 TFLOPS
Tesla C2075
1.028 TFLOPS
Graphics Card
Aug 2022
Release Date
Jul 2011
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
783 MHz
Memory
6GB
Memory Size
6GB
GDDR6
Memory Type
GDDR5
96bit
Memory Bus
384bit
186.0GB/s
Bandwidth
150.3GB/s
Render Config
-
-
-
-
SM Count
14
1024
Shading Units
448
64
TMUs
56
32
ROPs
48
-
-
-
8
RT Cores
-
-
L1 Cache
64 KB (per SM)
4 MB
L2 Cache
768 KB
-
-
-
Theoretical Performance
62.40 GPixel/s
Pixel Rate
16.07 GPixel/s
124.8 GTexel/s
Texture Rate
32.14 GTexel/s
7.987 TFLOPS
FP16 (half)
-
3.994 TFLOPS
FP32 (float)
1028 GFLOPS
-
FP64 (double)
513.9 GFLOPS
Board Design
75W
TDP
247W
250 W
Suggested PSU
550 W
1x HDMI 2.1
3x DisplayPort 2.0
Outputs
1x DVI
1x 8-pin
Power Connectors
1x 6-pin + 1x 8-pin
Graphics Processor
DG2-128
GPU Name
GF110
ACM-G11
GPU Variant
GF110-351-A1
Generation 12.7
Architecture
Fermi 2.0
TSMC
Foundry
TSMC
6 nm
Process Size
40 nm
7.2 billion
Transistors
3 billion
157 mm²
Die Size
520 mm²
Graphics Features
12 Ultimate (12_2)
DirectX
12 (11_0)
4.6
OpenGL
4.6
3.0
OpenCL
1.1
1.3
Vulkan
N/A
-
CUDA
2.0
6.6
Shader Model
5.1
