NVIDIA Tesla K20c vs NVIDIA Quadro GP100
We compared two Professional market GPUs: 5GB VRAM Tesla K20c and 16GB VRAM Quadro GP100 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
NVIDIA Tesla K20c 's Advantages
Lower TDP (225W vs 235W)
NVIDIA Quadro GP100 's Advantages
Released 3 years and 11 months late
Boost Clock1442MHz
More VRAM (16GB vs 5GB)
Larger VRAM bandwidth (732.2GB/s vs 208.0GB/s)
1088 additional rendering cores
Score
Benchmark
FP32 (float)
Tesla K20c
3.524 TFLOPS
Quadro GP100
+193%
10.34 TFLOPS
OctaneBench
Tesla K20c
55
Quadro GP100
+336%
240
Graphics Card
Nov 2012
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
1300 MHz
Memory Clock
715 MHz
Memory
5GB
Memory Size
16GB
GDDR5
Memory Type
HBM2
320bit
Memory Bus
4096bit
208.0GB/s
Bandwidth
732.2GB/s
Render Config
-
-
-
-
SM Count
56
2496
Shading Units
3584
208
TMUs
224
40
ROPs
96
-
-
-
-
-
-
16 KB (per SMX)
L1 Cache
24 KB (per SM)
1280 KB
L2 Cache
4 MB
-
-
-
Theoretical Performance
36.71 GPixel/s
Pixel Rate
138.4 GPixel/s
146.8 GTexel/s
Texture Rate
323.0 GTexel/s
-
FP16 (half)
20.67 TFLOPS
3.524 TFLOPS
FP32 (float)
10.34 TFLOPS
1175 GFLOPS
FP64 (double)
5.168 TFLOPS
Board Design
225W
TDP
235W
550 W
Suggested PSU
550 W
No outputs
Outputs
1x DVI
4x DisplayPort 1.4a
1x 6-pin + 1x 8-pin
Power Connectors
1x 8-pin
Graphics Processor
GK110
GPU Name
GP100
GK110-885-KA-A1
GPU Variant
-
Kepler
Architecture
Pascal
TSMC
Foundry
TSMC
28 nm
Process Size
16 nm
7.08 billion
Transistors
15.3 billion
561 mm²
Die Size
610 mm²
Graphics Features
12 (11_0)
DirectX
12 (12_1)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.1
Vulkan
1.3
3.5
CUDA
6.0
5.1
Shader Model
6.4
