From the lab
Swift 27B vs. two Flash Next models on the IT Lab Bench
Three local AI models, 153 real-work cases on one 16 GiB GPU: results, speed, memory and IT Lab's guidance for business use.
Read article From the lab21 / 10 / 2026 · 6 minIT Lab Bench results, edition 1
Per-model results by test family from the IT Lab Bench, edition 1: pass criterion and time, with a summary matrix.
View results From the lab21 / 10 / 2026 · 9 minTechnical report 4 (2/2): results and conclusions
Results, discussion, implications, limitations and conclusions of the IT Lab Bench methodology; second part of technical report 4.
Read report From the lab21 / 10 / 2026 · 8 minTechnical report 4: IT Lab Bench methodology (1/2)
The IT Lab Bench method: test families, deterministic staged judge, threshold set in advance, best opportunity per model and instrument quality controls.
Read report From the lab21 / 10 / 2026 · 18 minTechnical report 3: Running local AI on a 16 GB GPU
Usable memory, engine configuration, real context, the cost of reasoning and sizing, as measured by IT Lab on a 16 GiB GPU.
Read report From the lab21 / 10 / 2026 · 4 minLocal AI for a Chilean company: hardware and limits (2/2)
What hardware local AI needs in a Chilean company, what IT Lab does not promise, frequently asked questions, limitations and measurement sheet.
Read guide From the lab21 / 10 / 2026 · 5 minLocal AI for a Chilean company: what to automate (1/2)
Which office and development tasks a local model can automate today, which need human review, and what hardware it takes.
Read guide From the lab21 / 10 / 2026 · 7 minSMB hardware for local AI with 16 GB
What fits on a 16 GiB graphics card, and why supporting a long context is not the same as working at good speed with…
Read article From the lab20 / 10 / 2026 · 7 minConfiguring a local model matters as much as choosing it
In the IT Lab Bench, the same model changes in speed and in outcome depending on its configuration, so it is documented per model…
Read article From the lab15 / 10 / 2026 · 18 minTechnical report 2: Local AI for writing code
IT Lab Bench results on code: completing an existing base, creating from scratch and realistic programming, with a staged judge.
Read report From the lab14 / 10 / 2026 · 7 minHard programming in real repositories with local AI
Repositories of 10 to 15 files with two interacting faults: several local models pass 9 or 10 of 10, and generation speed does not…
Read article From the lab08 / 10 / 2026 · 22 minTechnical report 1: office capabilities of local AI
Document reading, vision, agentic work and reasoning on Chilean business cases: full results from the IT Lab Bench, edition 1.
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