NVIDIA Quadro GP100 vs NVIDIA Tesla C2090
We compared two Professional market GPUs: 16GB VRAM Quadro GP100 and 6GB VRAM Tesla C2090 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)
Quadro GP100
+676%
10.34 TFLOPS
Tesla C2090
1.332 TFLOPS
Graphics Card
Oct 2016
Release Date
Jul 2011
Quadro
Generation
Tesla
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
PCIe 2.0 x16
Clock Speeds
1304 MHz
Base Clock
-
1442 MHz
Boost Clock
-
715 MHz
Memory Clock
924 MHz
Memory
16GB
Memory Size
6GB
HBM2
Memory Type
GDDR5
4096bit
Memory Bus
384bit
732.2GB/s
Bandwidth
177.4GB/s
Render Config
-
-
-
56
SM Count
16
3584
Shading Units
512
224
TMUs
64
96
ROPs
48
-
-
-
-
-
-
24 KB (per SM)
L1 Cache
64 KB (per SM)
4 MB
L2 Cache
768 KB
-
-
-
Theoretical Performance
138.4 GPixel/s
Pixel Rate
20.83 GPixel/s
323.0 GTexel/s
Texture Rate
41.66 GTexel/s
20.67 TFLOPS
FP16 (half)
-
10.34 TFLOPS
FP32 (float)
1332 GFLOPS
5.168 TFLOPS
FP64 (double)
666.1 GFLOPS
Board Design
235W
TDP
250W
550 W
Suggested PSU
600 W
1x DVI
4x DisplayPort 1.4a
Outputs
No outputs
1x 8-pin
Power Connectors
-
Graphics Processor
GP100
GPU Name
GF110
-
-
-
Pascal
Architecture
Fermi 2.0
TSMC
Foundry
TSMC
16 nm
Process Size
40 nm
15.3 billion
Transistors
3 billion
610 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
6.0
CUDA
2.0
6.4
Shader Model
5.1
