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GPU Comparison
NVIDIA GRID M6 8Q vs NVIDIA Tesla K20m
NVIDIA GRID M6 8Q vs NVIDIA Tesla K20m
VS
NVIDIA GRID M6 8Q
NVIDIA Tesla K20m
We compared two Professional market GPUs: 8GB VRAM GRID M6 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 M6 8Q 's Advantages
Released 2 years and 7 months late
More VRAM (8GB vs 5GB)
Lower TDP (100W vs 225W)
NVIDIA Tesla K20m 's Advantages
Larger VRAM bandwidth (208.0GB/s vs 160.4GB/s)
960 additional rendering cores
Score
Benchmark
FP32 (float)
GRID M6 8Q
2.218 TFLOPS
Tesla K20m
+58%
3.524 TFLOPS
NVIDIA GRID M6 8Q
VS
NVIDIA Tesla K20m
Graphics Card
Aug 2015
Release Date
Jan 2013
GRID
Generation
Tesla
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
PCIe 2.0 x16
Clock Speeds
-
-
-
-
-
-
1253 MHz
Memory Clock
1300 MHz
Memory
8GB
Memory Size
5GB
GDDR5
Memory Type
GDDR5
256bit
Memory Bus
320bit
160.4GB/s
Bandwidth
208.0GB/s
Render Config
-
-
-
-
-
-
1536
Shading Units
2496
96
TMUs
208
64
ROPs
40
-
-
-
-
-
-
48 KB (per SMM)
L1 Cache
16 KB (per SMX)
2 MB
L2 Cache
1280 KB
-
-
-
Theoretical Performance
46.21 GPixel/s
Pixel Rate
36.71 GPixel/s
69.31 GTexel/s
Texture Rate
146.8 GTexel/s
-
-
-
2.218 TFLOPS
FP32 (float)
3.524 TFLOPS
69.31 GFLOPS
FP64 (double)
1175 GFLOPS
Board Design
100W
TDP
225W
300 W
Suggested PSU
550 W
No outputs
Outputs
No outputs
None
Power Connectors
1x 6-pin + 1x 8-pin
Graphics Processor
GM204
GPU Name
GK110
GM204-995-A1
GPU Variant
-
Maxwell 2.0
Architecture
Kepler
TSMC
Foundry
TSMC
28 nm
Process Size
28 nm
5.2 billion
Transistors
7.08 billion
398 mm²
Die Size
561 mm²
Graphics Features
12 (12_1)
DirectX
12 (11_0)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.3
Vulkan
1.1
5.2
CUDA
3.5
6.4
Shader Model
5.1
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