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GPU Comparison
NVIDIA Tesla K20m vs NVIDIA GRID M10 8Q
NVIDIA Tesla K20m vs NVIDIA GRID M10 8Q
VS
NVIDIA Tesla K20m
NVIDIA GRID M10 8Q
We compared two Professional market GPUs: 5GB VRAM Tesla K20m and 8GB VRAM GRID M10 8Q to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
NVIDIA Tesla K20m 's Advantages
Larger VRAM bandwidth (208.0GB/s vs 83.20GB/s)
1856 additional rendering cores
NVIDIA GRID M10 8Q 's Advantages
Released 3 years and 4 months late
Boost Clock1306MHz
More VRAM (8GB vs 5GB)
Score
Benchmark
FP32 (float)
Tesla K20m
+110%
3.524 TFLOPS
GRID M10 8Q
1.672 TFLOPS
NVIDIA Tesla K20m
VS
NVIDIA GRID M10 8Q
Graphics Card
Jan 2013
Release Date
May 2016
Tesla
Generation
GRID
Professional
Type
Professional
PCIe 2.0 x16
Bus Interface
PCIe 3.0 x16
Clock Speeds
-
Base Clock
1033 MHz
-
Boost Clock
1306 MHz
1300 MHz
Memory Clock
1300 MHz
Memory
5GB
Memory Size
8GB
GDDR5
Memory Type
GDDR5
320bit
Memory Bus
128bit
208.0GB/s
Bandwidth
83.20GB/s
Render Config
-
-
-
-
-
-
2496
Shading Units
640
208
TMUs
40
40
ROPs
16
-
-
-
-
-
-
16 KB (per SMX)
L1 Cache
64 KB (per SMM)
1280 KB
L2 Cache
2 MB
-
-
-
Theoretical Performance
36.71 GPixel/s
Pixel Rate
20.90 GPixel/s
146.8 GTexel/s
Texture Rate
52.24 GTexel/s
-
-
-
3.524 TFLOPS
FP32 (float)
1.672 TFLOPS
1175 GFLOPS
FP64 (double)
52.24 GFLOPS
Board Design
225W
TDP
225W
550 W
Suggested PSU
550 W
No outputs
Outputs
No outputs
1x 6-pin + 1x 8-pin
Power Connectors
1x 8-pin
Graphics Processor
GK110
GPU Name
GM107
-
GPU Variant
GM107-570-A2
Kepler
Architecture
Maxwell
TSMC
Foundry
TSMC
28 nm
Process Size
28 nm
7.08 billion
Transistors
1.87 billion
561 mm²
Die Size
148 mm²
Graphics Features
12 (11_0)
DirectX
12 (11_0)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.1
Vulkan
1.3
3.5
CUDA
5.0
5.1
Shader Model
5.1
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