NVIDIA Tesla M2090 vs Intel Data Center GPU Flex 140
We compared two Professional market GPUs: 6GB VRAM Tesla M2090 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
Intel Data Center GPU Flex 140 's Advantages
Released 11 years and 1 months late
Boost Clock1950MHz
Larger VRAM bandwidth (186.0GB/s vs 177.4GB/s)
512 additional rendering cores
Lower TDP (75W vs 250W)
Score
Benchmark
FP32 (float)
Tesla M2090
1.332 TFLOPS
Data Center GPU Flex 140
+199%
3.994 TFLOPS
Graphics Card
Jul 2011
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
924 MHz
Memory Clock
1937 MHz
Memory
6GB
Memory Size
6GB
GDDR5
Memory Type
GDDR6
384bit
Memory Bus
96bit
177.4GB/s
Bandwidth
186.0GB/s
Render Config
-
-
-
16
SM Count
-
512
Shading Units
1024
64
TMUs
64
48
ROPs
32
-
-
-
-
RT Cores
8
64 KB (per SM)
L1 Cache
-
768 KB
L2 Cache
4 MB
-
-
-
Theoretical Performance
20.83 GPixel/s
Pixel Rate
62.40 GPixel/s
41.66 GTexel/s
Texture Rate
124.8 GTexel/s
-
FP16 (half)
7.987 TFLOPS
1332 GFLOPS
FP32 (float)
3.994 TFLOPS
666.1 GFLOPS
FP64 (double)
-
Board Design
250W
TDP
75W
600 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
GF110
GPU Name
DG2-128
-
GPU Variant
ACM-G11
Fermi 2.0
Architecture
Generation 12.7
TSMC
Foundry
TSMC
40 nm
Process Size
6 nm
3 billion
Transistors
7.2 billion
520 mm²
Die Size
157 mm²
Graphics Features
12 (11_0)
DirectX
12 Ultimate (12_2)
4.6
OpenGL
4.6
1.1
OpenCL
3.0
N/A
Vulkan
1.3
2.0
CUDA
-
5.1
Shader Model
6.6
