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GPU Comparison
NVIDIA Tesla C2090 vs NVIDIA Quadro 500M
NVIDIA Tesla C2090 vs NVIDIA Quadro 500M
VS
NVIDIA Tesla C2090
NVIDIA Quadro 500M
We compared two Professional market GPUs: 6GB VRAM Tesla C2090 and 1024MB VRAM Quadro 500M to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
NVIDIA Tesla C2090 's Advantages
More VRAM (6GB vs 1GB)
Larger VRAM bandwidth (177.4GB/s vs 28.80GB/s)
416 additional rendering cores
NVIDIA Quadro 500M 's Advantages
Lower TDP (35W vs 250W)
Score
Benchmark
FP32 (float)
Tesla C2090
+395%
1.332 TFLOPS
Quadro 500M
0.269 TFLOPS
Tesla C2090
VS
Quadro 500M
Graphics Card
Jul 2011
Release Date
Feb 2011
Tesla
Generation
Quadro Mobile
Professional
Type
Professional
PCIe 2.0 x16
Bus Interface
MXM-A (3.0)
Clock Speeds
-
Base Clock
-
-
Boost Clock
-
924 MHz
Memory Clock
900 MHz
Memory
6GB
Memory Size
1024MB
GDDR5
Memory Type
DDR3
384bit
Memory Bus
128bit
177.4GB/s
Bandwidth
28.80GB/s
Render Config
16
SM Count
2
-
Compute Units
-
512
Shading Units
96
64
TMUs
16
48
ROPs
4
-
Tensor Cores
-
-
RT Cores
-
64 KB (per SM)
L1 Cache
64 KB (per SM)
768 KB
L2 Cache
256 KB
Theoretical Performance
20.83 GPixel/s
Pixel Rate
2.800 GPixel/s
41.66 GTexel/s
Texture Rate
11.20 GTexel/s
-
FP16 (half)
-
1332 GFLOPS
FP32 (float)
268.8 GFLOPS
666.1 GFLOPS
FP64 (double)
22.40 GFLOPS
Graphics Processor
GF110
GPU Name
GF108
-
GPU Variant
N12M-Q3
Fermi 2.0
Architecture
Fermi
TSMC
Foundry
TSMC
40 nm
Process Size
40 nm
3 billion
Transistors
0.585 billion
520 mm²
Die Size
116 mm²
Board Design
250W
TDP
35W
600 W
Suggested PSU
-
No outputs
Outputs
No outputs
-
Power Connectors
-
Graphics Features
12 (11_0)
DirectX
12 (11_0)
4.6
OpenGL
4.6
1.1
OpenCL
1.1
N/A
Vulkan
N/A
2.0
CUDA
2.1
5.1
Shader Model
5.1
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9
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