Knowledge for a brighter tomorrow

Understand
what’s next.

Practical AI knowledge, reproducible tests and implementation-focused tutorials.

Learn
Understand technology
Build
Use it in practice
Test
See how it performs
Start with something practical

Understand → plan → run → measure

VRAM ≠
model file size
Understand

VRAM for local LLMs

Separate weights, context memory and runtime overhead.

Read guide →
VRAM + RAM
→ fit?
Plan

Local Model Fit Checker

Check whether a configuration is likely to fit your hardware before loading it.

Check a model →
$ ollama run model

>>> ready_
Run

Run a model with Ollama

Go from an installed runtime to repeatable local inference.

Follow tutorial →
3 models
12 runs
3 GB VRAM
Measure

When models outgrow VRAM

Compare runtime residency and warm generation throughput in LAB #005.

Open test →
DOCEO LAB

Measured.
Reproducible.
Scoped.

Real environments, exact configurations, repeatable commands and explicit limitations.

Explore the Lab →
How E—DOCEO works

No mystery numbers.

Documentation explains expected behavior. Tutorials reproduce workflows. Lab records publish what we actually measured and where those measurements stop being generalizable.