Public abstract only. Technical details are reserved for private review.
Public abstract only. This draft concerns disciplined energy measurement for local AI deployments, but the detailed method is not being released publicly at this stage.
Status: Public abstract only.
Energy planning matters for local AI deployments, especially where capacity, thermals, or facility constraints affect system design. This working paper concerns a disciplined approach to internal energy measurement, but detailed methods, examples, and comparison logic are being withheld from the public draft.
We explore controlled local AI, sensitive document workflows, and review support as the research develops. If you want to discuss collaboration or pilots, reach out.
One workflow, your environment, hardware included — roughly 4–8 weeks from kickoff. Local, offline-capable, and priced by scope — not by the token. You leave with a review record you can show security and compliance, whether or not you proceed.