UK-based independent AI efficiency projectEvidence before claims ยท 2026

12 Luna Low Sessions: One-Machine Resource Snapshot

OBSERVED ON ONE MACHINE ยท ONE WORKLOAD ยท OWNER-PROVIDED

12 Luna Low Sessions: One-Machine Resource Snapshot

A long-scroll visual companion to the article. It summarizes the article evidence boundary and method; it does not extend the underlying result.

At a glance

12 Luna Low Sessions: One-Machine Resource SnapshotFour-step visual: 12 GPT-6 LUNA LOW; CPU ~39โ€“71%; RAM ~25.6โ€“26.0 / 31.8 GB; CAPACITY CEILING UNKNOWN. The machine inventory was checked separately and is not bound to a timestamped raw capture from this workload.OBSERVED ON ONE MACHINE ยท ONE WORKLOAD ยท OWNER-PROVIDED112 GPT-6 LUNA LOW2CPU ~39โ€“71%3RAM ~25.6โ€“26.0 / 31.8 GB4CAPACITY CEILING UNKNOWNEvidence labels and limits travel with the visual.
The snapshot generates hypotheses about resource pressure; it does not measure a maximum safe lane count.

Evidence in scope

  • Free RAM: ~5.8โ€“6.1 GB
  • GPU: ~10%; disk negligible
  • Raw capture/window not attached

Evidence boundary: The machine inventory was checked separately and is not bound to a timestamped raw capture from this workload.

How to use the diagram

For a future staged sweep, hold task and verifier fixed and sample synchronized per-process CPU/RAM, failures, retries, and accepted outputs.

What this visual explains: The snapshot generates hypotheses about resource pressure; it does not measure a maximum safe lane count.

What it does not establish

No 24-lane or 64-GB run, RAM causality, output rate, or universal concurrency recommendation is available.

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