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From the lab

From the lab24 / 10 / 2026 · 6 min

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.

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From the lab21 / 10 / 2026 · 5 min

Local 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.

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From the lab21 / 10 / 2026 · 6 min

IT 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.

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From the lab21 / 10 / 2026 · 9 min

Technical 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.

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From the lab21 / 10 / 2026 · 8 min

Technical 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.

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From the lab21 / 10 / 2026 · 18 min

Technical 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.

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From the lab21 / 10 / 2026 · 4 min

Local 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.

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From the lab21 / 10 / 2026 · 7 min

SMB 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…

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From the lab20 / 10 / 2026 · 7 min

Configuring 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…

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From the lab15 / 10 / 2026 · 18 min

Technical 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.

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From the lab14 / 10 / 2026 · 7 min

Hard 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…

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From the lab08 / 10 / 2026 · 22 min

Technical 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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