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== Overview == | == Overview == | ||
Akida is a neuromorphic [[system on a chip]] designed for a wide range of markets from edge inference and training with a sub-1W power to high-performance data center applications. The architecture consists of three major parts: sensor interfaces, the conversion complex, and the neuron fabric. Depending on the application (e.g., edge vs data center) data may either be collected at the device (e.g. lidar, visual and audio) or brought via one of the standard data interfaces (e.g., [[PCIe]]). Any data sent to the Akida SoC requires being converted into spikes to be useful. Akida incorporates a conversion complex with a set of specialized conversion units for handling digital, analog, vision, sound and other data types to spikes. | Akida is a neuromorphic [[system on a chip]] designed for a wide range of markets from edge inference and training with a sub-1W power to high-performance data center applications. The architecture consists of three major parts: sensor interfaces, the conversion complex, and the neuron fabric. Depending on the application (e.g., edge vs data center) data may either be collected at the device (e.g. lidar, visual and audio) or brought via one of the standard data interfaces (e.g., [[PCIe]]). Any data sent to the Akida SoC requires being converted into spikes to be useful. Akida incorporates a conversion complex with a set of specialized conversion units for handling digital, analog, vision, sound and other data types to spikes. | ||
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=== Scalability === | === Scalability === |
Facts about "Akida - Microarchitectures - BrainChip"
codename | Akida + |
designer | BrainChip + |
first launched | September 10, 2018 + |
full page name | brainchip/akida + |
instance of | microarchitecture + |
manufacturer | TSMC + |
name | Akida + |