Inference compute
Reserved capacity, close to the user.
Interactive models carry a round-trip budget, and every network leg spends part of it. Nawa places reserved capacity near the user, on modular infrastructure it develops and operates.
Inference compute
Interactive models carry a round-trip budget, and every network leg spends part of it. Nawa places reserved capacity near the user, on modular infrastructure it develops and operates.
Positioning
An interactive session has a time budget set by the person or the machine at the other end. Transit between the user and the accelerator spends that budget before the model does any work.
Nawa builds small, repeatable deployments, which makes placement a site decision. A module can go in near demand or inside a named jurisdiction, and a reservation holds its capacity for one buyer.
Workloads
Interactive video models hold a session open while frames are produced, and the viewer notices every stall. The workload wants sustained accelerator time with a short network leg to the screen.
A model that perceives a scene and acts on it sits inside a control loop, and the machine sets the loop budget. Capacity placed near the deployment keeps transit out of that budget.
Agent sessions chain many model calls, and a person waits at the end of each one. Dedicated capacity keeps a shared queue out of the loop.
Structure
Structure is public. Hardware, price, region, and term are settled in the agreement.
Next
Say what you need to serve and where the users sit. A residency constraint, if one applies, shapes the site list.