~/talk

Automatic Provisioning of Bare Metal Edge for AI Inference

Talkat KCD SF Bay Area 2025 · on Tuesday, 2025-09-09· [infrastructure-as-code, machine-learning]
github:wrkode
slides:none on file

Claims a repeatable, user‑initiated method to provision bare‑metal edge nodes for AI inference by shipping a bootable image instead of relying on BMC/Redfish or remote management. Uses cordant wrapper around Cluster API to manage inventory and metal provisioning, and builds immutable images with Kyros ISO with k0s deployer (GitHub Actions produce ISOs containing OCI artifacts). Image supports TPM trusted boot, A/B upgrades, and boots isolated clusters that run local AI offline inference; presenter reports successful onsite deployments and demos.

AI-written summary · about

  1. 0:00Introduction
  2. 2:13Traditional bare metal workflow
  3. 5:46Metal³ and Cluster API
  4. 8:58Callback provisioning challenges
  5. 12:12BLURP framework tradeoffs
  6. 16:31Edge AI workload requirements
  7. 18:17Kyros provisioning
  8. 22:35Local AI deployment
  9. 24:45Q&A
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