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GPU Comparison
NVIDIA GRID M10 8Q vs NVIDIA Tesla K20m
NVIDIA GRID M10 8Q vs NVIDIA Tesla K20m
VS
NVIDIA GRID M10 8Q
NVIDIA Tesla K20m
We compared two Professional market GPUs: 8GB VRAM GRID M10 8Q and 5GB VRAM Tesla K20m to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
NVIDIA GRID M10 8Q 's Advantages
Released 3 years and 4 months late
Boost Clock1306MHz
More VRAM (8GB vs 5GB)
NVIDIA Tesla K20m 's Advantages
Larger VRAM bandwidth (208.0GB/s vs 83.20GB/s)
1856 additional rendering cores
Score
Benchmark
FP32 (float)
GRID M10 8Q
1.672 TFLOPS
Tesla K20m
+110%
3.524 TFLOPS
NVIDIA GRID M10 8Q
VS
NVIDIA Tesla K20m
Graphics Card
May 2016
Release Date
Jan 2013
GRID
Generation
Tesla
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
PCIe 2.0 x16
Clock Speeds
1033 MHz
Base Clock
-
1306 MHz
Boost Clock
-
1300 MHz
Memory Clock
1300 MHz
Memory
8GB
Memory Size
5GB
GDDR5
Memory Type
GDDR5
128bit
Memory Bus
320bit
83.20GB/s
Bandwidth
208.0GB/s
Render Config
-
-
-
-
-
-
640
Shading Units
2496
40
TMUs
208
16
ROPs
40
-
-
-
-
-
-
64 KB (per SMM)
L1 Cache
16 KB (per SMX)
2 MB
L2 Cache
1280 KB
-
-
-
Theoretical Performance
20.90 GPixel/s
Pixel Rate
36.71 GPixel/s
52.24 GTexel/s
Texture Rate
146.8 GTexel/s
-
-
-
1.672 TFLOPS
FP32 (float)
3.524 TFLOPS
52.24 GFLOPS
FP64 (double)
1175 GFLOPS
Board Design
225W
TDP
225W
550 W
Suggested PSU
550 W
No outputs
Outputs
No outputs
1x 8-pin
Power Connectors
1x 6-pin + 1x 8-pin
Graphics Processor
GM107
GPU Name
GK110
GM107-570-A2
GPU Variant
-
Maxwell
Architecture
Kepler
TSMC
Foundry
TSMC
28 nm
Process Size
28 nm
1.87 billion
Transistors
7.08 billion
148 mm²
Die Size
561 mm²
Graphics Features
12 (11_0)
DirectX
12 (11_0)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.3
Vulkan
1.1
5.0
CUDA
3.5
5.1
Shader Model
5.1
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7
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8
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9
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10
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