# Akida **Entity class:** Concept or analytic term **Type:** Neuromorphic processor **Collection:** [[collections/Neurotech|Neurotech]] **Primary source:** [[articles/2026 Annual Report on Brain-Computer Interfaces|2026 Annual Report on Brain-Computer Interfaces]] ## Definition Akida is BrainChip's low-power edge neuromorphic processor family. ## Relationships [[wiki/Akida|Akida]] is related to [[wiki/BrainChip|BrainChip]], [[wiki/Spiking Neural Network|spiking neural networks]], and edge inference. <!-- BEGIN HUMANIZED RELATIONSHIPS 2026-09-11 --> This entry's documented connections are expressed in its definition and related-work routes, with provenance retained in the source-linked material. <!-- END HUMANIZED RELATIONSHIPS 2026-09-11 --> ## Source route [[articles/2026 Annual Report on Brain-Computer Interfaces|2026 Annual Report on Brain-Computer Interfaces]] · [[collections/Neurotech|Neurotech]] ## Neurotech source route **Collection:** [[collections/Neurotech|Neurotech]] **Source article:** [[articles/The Organic-Synthetic Brain Atlas|The Organic-Synthetic Brain Atlas]] ## Related Work in the Corpus <!-- BEGIN HUMANIZED CORPUS ROUTES 2026-09-11 --> - In [[articles/The Organic-Synthetic Brain Atlas|The Organic-Synthetic Brain Atlas]], **IV.6 — Emerging and International Architectures: Tianjic, Darwin, Innatera, Akida, GrAI Matter** provides the narrative context for **Akida**: The commercial neuromorphic sector has emerged through several specialized startups. - In [[articles/2026 Annual Report on Brain-Computer Interfaces|2026 Annual Report on Brain-Computer Interfaces]], **Neuromorphic Hardware: Collapsing the Cloud Dependency Objection** provides the narrative context for **Akida**: IBM's NorthPole, scaled to a 288-card system by November 2025, achieves 115 peta-ops for LLM inference at 4-bit precision with 3.7 PB/s bandwidth consuming ~30kW—demonstrating cognitive-task-optimized architectures can approach… <!-- END HUMANIZED CORPUS ROUTES 2026-09-11 -->