Own the machine. Know the workload.
Private AI,
sized to the work.
Start with one customer-owned workstation and a useful acceptance test for your engineering team.
San Jose, California · By written proposal

Prove the workload before scaling it.
Memory, model licence, latency and data handling matter more than a headline GPU count. Choose a sample task the system must pass.
A strong region still needs a specific connection.
PG&E describes capacity opportunities in parts of its territory and asks developers for location, size and growth schedules. This does not establish capacity at a San Jose address.
PG&E data-centre connection context ↗