Lab Notes
Engineering notes on model evaluation, edge hardware and private AI systems. Methods, trade-offs and practical implementation details.
Choosing a model for your workload
A practical evaluation plan for comparing models on the documents, language and failure cases your system actually handles.
Updated November 2026 · Benchmarks
Measuring acoustic inference on edge hardware
How to budget sensing, feature extraction, inference and power before choosing a model for an embedded audio system.
Updated November 2026 · Edge
Keeping AI tool use inside a defined workflow
Explicit states, scoped permissions and recoverable actions make model-assisted workflows easier to inspect and operate.
Updated November 2026 · Systems
Deploy custom AI on your terms.
Tell us about your target silicon, data residency constraints, or latency requirements. Rochon engineers will provide a clear evaluation of what is viable, with power and latency models and deployment blueprints.