NVIDIA Tesla C2090 vs NVIDIA Quadro GP100
We compared two Professional market GPUs: 6GB VRAM Tesla C2090 and 16GB VRAM Quadro GP100 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
NVIDIA Quadro GP100 's Advantages
Released 5 years and 3 months late
Boost Clock1442MHz
More VRAM (16GB vs 6GB)
Larger VRAM bandwidth (732.2GB/s vs 177.4GB/s)
3072 additional rendering cores
Lower TDP (235W vs 250W)
Score
Benchmark
FP32 (float)
Tesla C2090
1.332 TFLOPS
Quadro GP100
+676%
10.34 TFLOPS
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
1304 MHz
-
Boost Clock
1442 MHz
924 MHz
Memory Clock
715 MHz
Memory
6GB
Memory Size
16GB
GDDR5
Memory Type
HBM2
384bit
Memory Bus
4096bit
177.4GB/s
Bandwidth
732.2GB/s
Render Config
-
-
-
16
SM Count
56
512
Shading Units
3584
64
TMUs
224
48
ROPs
96
-
-
-
-
-
-
64 KB (per SM)
L1 Cache
24 KB (per SM)
768 KB
L2 Cache
4 MB
-
-
-
Theoretical Performance
20.83 GPixel/s
Pixel Rate
138.4 GPixel/s
41.66 GTexel/s
Texture Rate
323.0 GTexel/s
-
FP16 (half)
20.67 TFLOPS
1332 GFLOPS
FP32 (float)
10.34 TFLOPS
666.1 GFLOPS
FP64 (double)
5.168 TFLOPS
Board Design
250W
TDP
235W
600 W
Suggested PSU
550 W
No outputs
Outputs
1x DVI
4x DisplayPort 1.4a
-
Power Connectors
1x 8-pin
Graphics Processor
GF110
GPU Name
GP100
-
-
-
Fermi 2.0
Architecture
Pascal
TSMC
Foundry
TSMC
40 nm
Process Size
16 nm
3 billion
Transistors
15.3 billion
520 mm²
Die Size
610 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
6.0
5.1
Shader Model
6.4
