NVIDIA Quadro P400 vs NVIDIA Tesla C2090
We compared two Professional market GPUs: 2GB VRAM Quadro P400 and 6GB VRAM Tesla C2090 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
NVIDIA Quadro P400 's Advantages
Released 5 years and 7 months late
Boost Clock1252MHz
Lower TDP (30W vs 250W)
NVIDIA Tesla C2090 's Advantages
More VRAM (6GB vs 2GB)
Larger VRAM bandwidth (177.4GB/s vs 32.06GB/s)
256 additional rendering cores
Score
Benchmark
FP32 (float)
Quadro P400
0.641 TFLOPS
Tesla C2090
+107%
1.332 TFLOPS
Graphics Card
Feb 2017
Release Date
Jul 2011
Quadro
Generation
Tesla
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
PCIe 2.0 x16
Clock Speeds
1228 MHz
Base Clock
-
1252 MHz
Boost Clock
-
1002 MHz
Memory Clock
924 MHz
Memory
2GB
Memory Size
6GB
GDDR5
Memory Type
GDDR5
64bit
Memory Bus
384bit
32.06GB/s
Bandwidth
177.4GB/s
Render Config
-
-
-
2
SM Count
16
256
Shading Units
512
16
TMUs
64
16
ROPs
48
-
-
-
-
-
-
48 KB (per SM)
L1 Cache
64 KB (per SM)
512 KB
L2 Cache
768 KB
-
-
-
Theoretical Performance
20.03 GPixel/s
Pixel Rate
20.83 GPixel/s
20.03 GTexel/s
Texture Rate
41.66 GTexel/s
10.02 GFLOPS
FP16 (half)
-
641.0 GFLOPS
FP32 (float)
1332 GFLOPS
20.03 GFLOPS
FP64 (double)
666.1 GFLOPS
Board Design
30W
TDP
250W
200 W
Suggested PSU
600 W
3x mini-DisplayPort 1.4a
Outputs
No outputs
None
Power Connectors
-
Graphics Processor
GP107
GPU Name
GF110
GP107-825-KA-A1
GPU Variant
-
Pascal
Architecture
Fermi 2.0
Samsung
Foundry
TSMC
14 nm
Process Size
40 nm
3.3 billion
Transistors
3 billion
132 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
6.1
CUDA
2.0
6.4
Shader Model
5.1
