NVIDIA GRID K160Q vs NVIDIA Tesla K20m
We compared two Professional market GPUs: 1024MB VRAM GRID K160Q and 5GB VRAM Tesla K20m to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
NVIDIA GRID K160Q 's Advantages
Lower TDP (130W vs 225W)
NVIDIA Tesla K20m 's Advantages
More VRAM (5GB vs 1024GB)
Larger VRAM bandwidth (208.0GB/s vs 28.51GB/s)
2304 additional rendering cores
Score
Benchmark
FP32 (float)
GRID K160Q
0.326 TFLOPS
Tesla K20m
+980%
3.524 TFLOPS
Graphics Card
Jun 2013
Release Date
Jan 2013
GRID
Generation
Tesla
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
PCIe 2.0 x16
Clock Speeds
-
-
-
-
-
-
891 MHz
Memory Clock
1300 MHz
Memory
1024MB
Memory Size
5GB
DDR3
Memory Type
GDDR5
128bit
Memory Bus
320bit
28.51GB/s
Bandwidth
208.0GB/s
Render Config
-
-
-
-
-
-
192
Shading Units
2496
16
TMUs
208
16
ROPs
40
-
-
-
-
-
-
16 KB (per SMX)
L1 Cache
16 KB (per SMX)
256 KB
L2 Cache
1280 KB
-
-
-
Theoretical Performance
3.400 GPixel/s
Pixel Rate
36.71 GPixel/s
13.60 GTexel/s
Texture Rate
146.8 GTexel/s
-
-
-
326.4 GFLOPS
FP32 (float)
3.524 TFLOPS
13.60 GFLOPS
FP64 (double)
1175 GFLOPS
Board Design
130W
TDP
225W
300 W
Suggested PSU
550 W
No outputs
Outputs
No outputs
-
Power Connectors
1x 6-pin + 1x 8-pin
Graphics Processor
GK107
GPU Name
GK110
-
-
-
Kepler
Architecture
Kepler
TSMC
Foundry
TSMC
28 nm
Process Size
28 nm
1.27 billion
Transistors
7.08 billion
118 mm²
Die Size
561 mm²
Graphics Features
12 (11_0)
DirectX
12 (11_0)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.1
Vulkan
1.1
3.0
CUDA
3.5
5.1
Shader Model
5.1
