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GPU Comparison
NVIDIA Quadro M6000 24 GB vs NVIDIA Tesla C2090
NVIDIA Quadro M6000 24 GB vs NVIDIA Tesla C2090
VS
NVIDIA Quadro M6000 24 GB
NVIDIA Tesla C2090
We compared two Professional market GPUs: 24GB VRAM Quadro M6000 24 GB and 6GB VRAM Tesla C2090 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
NVIDIA Quadro M6000 24 GB 's Advantages
Released 4 years and 8 months late
Boost Clock1114MHz
More VRAM (24GB vs 6GB)
Larger VRAM bandwidth (317.4GB/s vs 177.4GB/s)
2560 additional rendering cores
Score
Benchmark
FP32 (float)
Quadro M6000 24 GB
+413%
6.844 TFLOPS
Tesla C2090
1.332 TFLOPS
Quadro M6000 24 GB
VS
Tesla C2090
Graphics Card
Mar 2016
Release Date
Jul 2011
Quadro
Generation
Tesla
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
PCIe 2.0 x16
Clock Speeds
988 MHz
Base Clock
-
1114 MHz
Boost Clock
-
1653 MHz
Memory Clock
924 MHz
Memory
24GB
Memory Size
6GB
GDDR5
Memory Type
GDDR5
384bit
Memory Bus
384bit
317.4GB/s
Bandwidth
177.4GB/s
Render Config
-
-
-
-
SM Count
16
3072
Shading Units
512
256
TMUs
64
96
ROPs
48
-
-
-
-
-
-
48 KB (per SMM)
L1 Cache
64 KB (per SM)
3 MB
L2 Cache
768 KB
-
-
-
Theoretical Performance
106.9 GPixel/s
Pixel Rate
20.83 GPixel/s
285.2 GTexel/s
Texture Rate
41.66 GTexel/s
-
-
-
6.844 TFLOPS
FP32 (float)
1332 GFLOPS
213.9 GFLOPS
FP64 (double)
666.1 GFLOPS
Board Design
250W
TDP
250W
600 W
Suggested PSU
600 W
1x DVI 4x DisplayPort 1.4a
Outputs
No outputs
1x 8-pin
Power Connectors
-
Graphics Processor
GM200
GPU Name
GF110
GM200-880-A1
GPU Variant
-
Maxwell 2.0
Architecture
Fermi 2.0
TSMC
Foundry
TSMC
28 nm
Process Size
40 nm
8 billion
Transistors
3 billion
601 mm²
Die Size
520 mm²
Graphics Features
12 (12_1)
DirectX
12 (11_0)
4.6
OpenGL
4.6
3.0
OpenCL
1.1
1.3
Vulkan
N/A
5.2
CUDA
2.0
6.4
Shader Model
5.1
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9
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