Own the learning loop.
Start with a narrowly defined workload and a model that fits the chosen hardware. Keep the development environment, data dependencies and evaluation procedure reproducible.
The Compacitas vision brings that work into a durable project model, with context and lessons that can be retrieved when you return.
Scale a working system.
Before adding nodes, establish where the bottleneck is: memory, compute, storage, networking or the workflow itself. A cluster should address a measured constraint.
- Prototype a local workflow
- Evaluate the result against a clear task
- Record the configuration and evidence
- Expand when the workload justifies it