aie-hw-bringup

aie-hw-bringup is an MLOps & model serving skill for AI agents, published by Xilinx in the mlir-aie repository on GitHub. Skillspace rates aie-hw-bringup C (74/100) and it passed the safety scan; the rating is based on static analysis only.

Guide to bringing up a new IRON design on real AIE/NPU hardware for the first time — sequential block-by-block (and, for large models, dispatch-by-dispatch) bring-up against a reference, immediate output comparison against the numeric oracle/ONNX Runtime, methodical bisection when something hangs or mismatches, memory-budget tile splits, and validating the host-orchestration handoff between dispatches as its own step. Use this whenever the user is getting a new design running on real NPU hardware for the first time, debugging a hang/deadlock/wrong-output on real hardware (as opposed to in simulation), comparing NPU output against a reference to find where a design diverges, hitting an L1/tile memory budget overflow, or debugging a multi-dispatch handoff — even if they haven't framed it as "bring-up.

Grade

C

Quality

74 / 100

Safety

Passed

GitHub stars

687

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.