AI Accelerator

A custom neural-network inference engine with its own register interface, weight ROMs, and two design iterations.

AcceleratorIn-house SiliCore

The AI accelerator is the clearest piece of in-house design work in the SoC. It is not a purchased IP block: it has its own register interface, its own weight-loading path, dedicated weight and bias memories, and two independent design iterations.

How it connects

The accelerator sits on the AXI4-Lite fabric like any other peripheral, with a register interface for control and status. Weights arrive over a dedicated second UART (UART1) rather than competing with the general-purpose console on UART0 — model data streaming in does not block or corrupt ordinary firmware I/O.

It became part of the MCU at demo_v10, the milestone where the accelerator was integrated into the SoC rather than exercised on its own.

Two iterations

The first core was built around a serial adder. The second (ai_accelerator2) is built around DSP units. The second exists because we measured the first and went back to improve it — an internally-driven optimisation effort, and one of the parts of the project we are most willing to be judged on.