Akida IP stands as an advanced neuromorphic processor, emulating brain-like processing to efficiently handle sensor inputs at acquisition points. This digital processor offers superior performance, precision, and significant reductions in power usage. By facilitating localized AI/ML tasks, it decreases latency and enhances data privacy. Akida IP is built to infer and learn at the edge, offering highly customizable, event-based neural processing.
The architecture of Akida IP is scalable and compact, supporting an extensive mesh network connection of up to 256 nodes. Each node includes four Neural Network Layer Engines (NPEs), configurable for convolutional and fully connected processes. By leveraging data sparsity, Akida optimizes operation reduction, making it a cost-effective solution for various edge AI applications.
Including MetaTF support for model simulations, Akida IP brings a fully synthesizable RTL IP package compatible with standard EDA tools, emphasizing ease of integration and deployment. This enables developers to swiftly design, develop, and implement custom AI solutions with robust security and privacy protection.
