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GPU Comparison
NVIDIA Tesla C2090 vs NVIDIA Quadro P5000
NVIDIA Tesla C2090 vs NVIDIA Quadro P5000
VS
NVIDIA Tesla C2090
NVIDIA Quadro P5000
We compared two Professional market GPUs: 6GB VRAM Tesla C2090 and 16GB VRAM Quadro P5000 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
NVIDIA Quadro P5000 's Advantages
Released 5 years and 3 months late
Boost Clock1733MHz
More VRAM (16GB vs 6GB)
Larger VRAM bandwidth (288.5GB/s vs 177.4GB/s)
2048 additional rendering cores
Lower TDP (180W vs 250W)
Score
Benchmark
FP32 (float)
Tesla C2090
1.332 TFLOPS
Quadro P5000
+566%
8.873 TFLOPS
NVIDIA Tesla C2090
VS
NVIDIA Quadro P5000
Graphics Card
Jul 2011
Release Date
Oct 2016
Tesla
Generation
Quadro
Professional
Type
Professional
PCIe 2.0 x16
Bus Interface
PCIe 3.0 x16
Clock Speeds
-
Base Clock
1607 MHz
-
Boost Clock
1733 MHz
924 MHz
Memory Clock
1127 MHz
Memory
6GB
Memory Size
16GB
GDDR5
Memory Type
GDDR5X
384bit
Memory Bus
256bit
177.4GB/s
Bandwidth
288.5GB/s
Render Config
-
-
-
16
SM Count
20
512
Shading Units
2560
64
TMUs
160
48
ROPs
64
-
-
-
-
-
-
64 KB (per SM)
L1 Cache
48 KB (per SM)
768 KB
L2 Cache
2 MB
-
-
-
Theoretical Performance
20.83 GPixel/s
Pixel Rate
110.9 GPixel/s
41.66 GTexel/s
Texture Rate
277.3 GTexel/s
-
FP16 (half)
138.6 GFLOPS
1332 GFLOPS
FP32 (float)
8.873 TFLOPS
666.1 GFLOPS
FP64 (double)
277.3 GFLOPS
Board Design
250W
TDP
180W
600 W
Suggested PSU
450 W
No outputs
Outputs
1x DVI 4x DisplayPort 1.4a
-
Power Connectors
1x 8-pin
Graphics Processor
GF110
GPU Name
GP104
-
GPU Variant
GP104-875-A1
Fermi 2.0
Architecture
Pascal
TSMC
Foundry
TSMC
40 nm
Process Size
16 nm
3 billion
Transistors
7.2 billion
520 mm²
Die Size
314 mm²
Graphics Features
12 (11_0)
DirectX
12 (12_1)
4.6
OpenGL
4.6
1.1
OpenCL
3.0
N/A
Vulkan
1.3
2.0
CUDA
6.1
5.1
Shader Model
6.4
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