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GPU Comparison
NVIDIA Tesla K20m vs NVIDIA GRID M60 8Q
NVIDIA Tesla K20m vs NVIDIA GRID M60 8Q
VS
NVIDIA Tesla K20m
NVIDIA GRID M60 8Q
We compared two Professional market GPUs: 5GB VRAM Tesla K20m and 8GB VRAM GRID M60 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 160.4GB/s)
448 additional rendering cores
NVIDIA GRID M60 8Q 's Advantages
Released 2 years and 7 months late
Boost Clock1178MHz
More VRAM (8GB vs 5GB)
Score
Benchmark
FP32 (float)
Tesla K20m
3.524 TFLOPS
GRID M60 8Q
+36%
4.825 TFLOPS
NVIDIA Tesla K20m
VS
NVIDIA GRID M60 8Q
Graphics Card
Jan 2013
Release Date
Aug 2015
Tesla
Generation
GRID
Professional
Type
Professional
PCIe 2.0 x16
Bus Interface
PCIe 3.0 x16
Clock Speeds
-
Base Clock
557 MHz
-
Boost Clock
1178 MHz
1300 MHz
Memory Clock
1253 MHz
Memory
5GB
Memory Size
8GB
GDDR5
Memory Type
GDDR5
320bit
Memory Bus
256bit
208.0GB/s
Bandwidth
160.4GB/s
Render Config
-
-
-
-
-
-
2496
Shading Units
2048
208
TMUs
128
40
ROPs
64
-
-
-
-
-
-
16 KB (per SMX)
L1 Cache
48 KB (per SMM)
1280 KB
L2 Cache
2 MB
-
-
-
Theoretical Performance
36.71 GPixel/s
Pixel Rate
75.39 GPixel/s
146.8 GTexel/s
Texture Rate
150.8 GTexel/s
-
-
-
3.524 TFLOPS
FP32 (float)
4.825 TFLOPS
1175 GFLOPS
FP64 (double)
150.8 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
GM204
-
-
-
Kepler
Architecture
Maxwell 2.0
TSMC
Foundry
TSMC
28 nm
Process Size
28 nm
7.08 billion
Transistors
5.2 billion
561 mm²
Die Size
398 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
5.2
5.1
Shader Model
6.4
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