WHY BRING AI ONTO YOUR PREMISES?
Privacy and token economics are central reasons UT customers explore AI workstations. Make those benefits concrete by examining the complete system.
REFERENCE ARCHITECTURE / YOUR PREMISES
A complete local deployment can process an application’s sensitive work within an infrastructure boundary you control.
The physical location of the GPU does not tell you where every application sends data. Document the full path.
Record where prompts, documents, embeddings, retrieved passages, outputs and logs are processed and stored. Include tools and external APIs.
Stage models, images and dependencies. Verify startup, inference, retrieval and the selected applications with outbound connectivity blocked in an authorized test environment.
Document telemetry, update checks, authentication, crash reporting and connectors. Keep intended external services explicit.
Name the exact software versions, tested operations, network controls and evidence. State what you did not test.
Describe the data boundary, workload and cost target you need. Connect them to a complete machine and a scoped evaluation.
The Lab is published by Understand Tech, which also offers managed deployments. That offer has no influence on the records, prices or order shown here.
Managed deployment
