Map the local inference boundary and GPU constraints

Verifiedon 2026-07-292026.7.1

Local is a boundary, not a verdict

A request can be generated on a local host and still cross other boundaries through authentication, updates, observability, remote tools, shared storage, or an operator’s diagnostic export. Treat each movement as a fact to establish, not an assumption to inherit from the word “local.”

Capacity is more than accelerator memory

Record the host profile used for a test: accelerator class and available memory, system memory, storage, CPU, power/thermal envelope, runtime version, queue policy, and competing workloads. The useful question is not “will it load?” but “does it remain within the agreed service boundary when the queue is busy?”

Learner artifact — redacted host readiness panel: Capture a test host’s resource view with hostname, user names, paths, tokens, model names where confidential, and identifiers redacted. Annotate available accelerator memory, system memory, observed queue depth, temperature/power policy if applicable, and the time window. Add alt text describing the observed capacity, not the pixels.

Lab: draw the request path

For one fixture case, draw:

1. input origin;
2. policy/approval boundary;
3. inference host or provider;
4. tool or retrieval systems, if any;
5. logs, traces, caches, and exports; and
6. human reviewer or escalation path.

At each arrow, label data class, retention owner, and whether the transfer is required. Then list the smallest load test that could falsify your capacity assumption: for example, the target concurrency plus one, over a defined interval, with the same fixture mix.

Checkpoint

A test host has spare accelerator memory while one request runs. What does that prove?

It proves only that one observed run fit that moment’s memory state. It does not prove concurrent capacity, tail latency, thermal stability, queue behavior, data handling, or recoverability. Promote none of those claims without their own observation.

Optional video queue — not an embed

The curriculum ledger names Tech With Tim’s Local Models Got a HUGE Upgrade (candidate 73UEJxAWzb0) for hardware discussion around 00:37–04:29. It is conditional only: a human editor must view the segment, recheck availability and embed status, cross-check current documentation, and complete privacy, rights, and accessibility review before it appears on a learner page. This lesson remains complete without it.