BUYER DECISION SYSTEM · EVIDENCE LEDGER
Start with the decision in front of you, or browse every guide directly. LocalRig keeps the path open either way.
LocalRig helps you choose local-AI hardware by starting with your model, workload, and constraints—not a product pitch. Inspect dated evidence and practical alternatives before deciding what to buy, rent, keep, or skip.
OPTIONAL DECISION CONSOLE
Choose a starting point if you want one. Every guide remains open to browse below.
BUYER GUARDRAILS
Use your workload and constraints to narrow the next guide.
Read each guide’s description and publication date before acting.
Keep browsing, compare tools, or take the next decision when ready.
MANUAL BROWSING STAYS OPEN
Follow the stages in order or enter any collection directly. Every published guide is listed below.
Begin with the workload and runtime questions that shape every later hardware choice.
Compare the hardware paths after you know what the workload needs.
Consider local and cloud options before committing to a purchase.
BUYER QUESTIONS
Start with the model, runtime, and workload you intend to use, then compare the memory, system constraints, and trade-offs that apply to that use. LocalRig’s decision console and guides are designed to make those constraints inspectable before a purchase.
Those paths solve different constraints. Compare the model fit, runtime support, operating preferences, and how often you expect to use the system; LocalRig presents local, Apple Silicon, and cloud paths as options to inspect rather than a universal winner.
Used hardware can be a sensible option when its configuration, condition, compatibility, and operating requirements fit the workload. Check the guide’s stated evidence and constraints, then verify the specific hardware before committing.
Some LocalRig links may earn an affiliate commission, but recommendations are ranked by fit rather than payout. A guide may point to used hardware, cloud compute, keeping current hardware, waiting, or another non-affiliate path when that better fits the decision.
EDITORIAL FRESHNESS
Feed generated Aug 6, 2026
These records come from published guides, approved evidence, promoted benchmark observations, and generated hardware profiles. A research candidate is not a recommendation until a human reviews and publishes it.
RESEARCH LEDGER
Recent verified evidence and published guide updates, with provenance and dates attached.
RESEARCH LEDGER
Stale or incomplete records stay visible here for editorial correction; they are not silently rewritten.
GENERATED HARDWARE PROFILES
Profiles are generated from the compatibility resolver and carry their own verification dates. Prices and fit still need checking before a purchase.
Freshness is a review signal, not a guarantee or a buying prompt. Affiliate routes, when present in a guide, never determine fit or ordering.