About LocalNodeOps
LocalNodeOps publishes measured, reproducible benchmarks for local LLM inference hardware — not vendor claims, not marketing numbers. It exists because most "which GPU should I buy for local AI" advice online is either outdated, unverified, or lifted from a vendor spec sheet rather than an actual run. This site tries to close that gap: real numbers, labeled honestly, with the estimation math shown rather than hidden.
How this site operates
Experience
Every benchmark on this site is run on physical hardware we own or have direct access to. Community-reported figures are labeled as such and never presented as independently verified.
Expertise
Coverage focuses on the practical side of local inference: quantization trade-offs, VRAM budgeting, and diagnosing failures in CUDA, vLLM, Ollama, and llama.cpp — the tools people actually run in production and at home.
Trustworthiness
Benchmark methodology, hardware specs, and software versions are published alongside every result. Corrections are dated, not silently edited. This site does participate in affiliate programs with select cloud GPU providers — disclosed inline wherever a link appears, not just buried in Terms — and those relationships never influence the calculator’s math or which local hardware profiles a configuration is shown to fit.
Methodology, in practice
- Every figure is tagged verified (measured directly on hardware we control) or community-reported (submitted by someone else) — the two are never blended into one number.
- The VRAM calculator states plainly which parts of its output are exact (synced file sizes) and which are estimated (KV cache math) — see its own footnote for the breakdown.
- Hardware specs and software versions are published next to results, not buried in a separate methodology page nobody reads.
- Corrections are dated when made, not quietly rewritten.
- Affiliate links (currently RunPod, Lambda Labs) are shown only as a separate, clearly labeled card when a configuration exceeds local hardware — they never change the VRAM math itself, which is computed identically with or without an affiliate relationship.
Found something wrong, or want a specific model benchmarked?
Get in touch