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GPU Comparison
NVIDIA Quadro 500M vs NVIDIA Tesla C2090
NVIDIA Quadro 500M vs NVIDIA Tesla C2090
VS
NVIDIA Quadro 500M
NVIDIA Tesla C2090
We compared two Professional market GPUs: 1024MB VRAM Quadro 500M and 6GB VRAM Tesla C2090 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
NVIDIA Quadro 500M 's Advantages
Lower TDP (35W vs 250W)
NVIDIA Tesla C2090 's Advantages
More VRAM (6GB vs 1024GB)
Larger VRAM bandwidth (177.4GB/s vs 28.80GB/s)
416 additional rendering cores
Score
Benchmark
FP32 (float)
Quadro 500M
0.269 TFLOPS
Tesla C2090
+395%
1.332 TFLOPS
Quadro 500M
VS
Tesla C2090
Graphics Card
Feb 2011
Release Date
Jul 2011
Quadro Mobile
Generation
Tesla
Professional
Type
Professional
MXM-A (3.0)
Bus Interface
PCIe 2.0 x16
Clock Speeds
-
-
-
-
-
-
900 MHz
Memory Clock
924 MHz
Memory
1024MB
Memory Size
6GB
DDR3
Memory Type
GDDR5
128bit
Memory Bus
384bit
28.80GB/s
Bandwidth
177.4GB/s
Render Config
-
-
-
2
SM Count
16
96
Shading Units
512
16
TMUs
64
4
ROPs
48
-
-
-
-
-
-
64 KB (per SM)
L1 Cache
64 KB (per SM)
256 KB
L2 Cache
768 KB
-
-
-
Theoretical Performance
2.800 GPixel/s
Pixel Rate
20.83 GPixel/s
11.20 GTexel/s
Texture Rate
41.66 GTexel/s
-
-
-
268.8 GFLOPS
FP32 (float)
1332 GFLOPS
22.40 GFLOPS
FP64 (double)
666.1 GFLOPS
Board Design
35W
TDP
250W
-
Suggested PSU
600 W
No outputs
Outputs
No outputs
-
-
-
Graphics Processor
GF108
GPU Name
GF110
N12M-Q3
GPU Variant
-
Fermi
Architecture
Fermi 2.0
TSMC
Foundry
TSMC
40 nm
Process Size
40 nm
0.585 billion
Transistors
3 billion
116 mm²
Die Size
520 mm²
Graphics Features
12 (11_0)
DirectX
12 (11_0)
4.6
OpenGL
4.6
1.1
OpenCL
1.1
N/A
Vulkan
N/A
2.1
CUDA
2.0
5.1
Shader Model
5.1
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