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GPU Comparison
NVIDIA Tesla C2090 vs NVIDIA Quadro M600M
NVIDIA Tesla C2090 vs NVIDIA Quadro M600M
VS
NVIDIA Tesla C2090
NVIDIA Quadro M600M
We compared two Professional market GPUs: 6GB VRAM Tesla C2090 and 2GB VRAM Quadro M600M 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 2GB)
Larger VRAM bandwidth (177.4GB/s vs 80.19GB/s)
128 additional rendering cores
NVIDIA Quadro M600M 's Advantages
Released 4 years and 1 months late
Boost Clock876MHz
Lower TDP (30W vs 250W)
Score
Benchmark
FP32 (float)
Tesla C2090
+97%
1.332 TFLOPS
Quadro M600M
0.673 TFLOPS
Tesla C2090
VS
Quadro M600M
Graphics Card
Jul 2011
Release Date
Aug 2015
Tesla
Generation
Quadro Mobile
Professional
Type
Professional
PCIe 2.0 x16
Bus Interface
MXM-A (3.0)
Clock Speeds
-
Base Clock
837 MHz
-
Boost Clock
876 MHz
924 MHz
Memory Clock
1253 MHz
Memory
6GB
Memory Size
2GB
GDDR5
Memory Type
GDDR5
384bit
Memory Bus
128bit
177.4GB/s
Bandwidth
80.19GB/s
Render Config
16
SM Count
-
-
Compute Units
-
512
Shading Units
384
64
TMUs
16
48
ROPs
8
-
Tensor Cores
-
-
RT Cores
-
64 KB (per SM)
L1 Cache
64 KB (per SMM)
768 KB
L2 Cache
2 MB
Theoretical Performance
20.83 GPixel/s
Pixel Rate
7.008 GPixel/s
41.66 GTexel/s
Texture Rate
14.02 GTexel/s
-
FP16 (half)
-
1332 GFLOPS
FP32 (float)
672.8 GFLOPS
666.1 GFLOPS
FP64 (double)
21.02 GFLOPS
Graphics Processor
GF110
GPU Name
GM107
-
GPU Variant
-
Fermi 2.0
Architecture
Maxwell
TSMC
Foundry
TSMC
40 nm
Process Size
28 nm
3 billion
Transistors
1.87 billion
520 mm²
Die Size
148 mm²
Board Design
250W
TDP
30W
600 W
Suggested PSU
-
No outputs
Outputs
No outputs
-
Power Connectors
None
Graphics Features
12 (11_0)
DirectX
12 (11_0)
4.6
OpenGL
4.6
1.1
OpenCL
3.0
N/A
Vulkan
1.3
2.0
CUDA
5.0
5.1
Shader Model
5.1
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