The below lists various Hardware products used to accelerate the running of neural network simulations.


Due to the compute intensive nature of machine learning algorithms, and in particular those that are analogue in nature, there has always been some demand for specific hardware to help accelerate the simulation software. This demand seems to have continuously competed with Moore’s Law and the constant improvement in general computation of personal computers and application servers. Specific utlizations include, GPUs and FPGAs, and dedicated hardware. Currently the focus seems to be around cloud providers delivering data analysis and machine learning platforms that anyone can leverage. See our seperate page on this.


Raspberry Pi and Python



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