Remote-site AI
Private AI for remote sites.
Lease local compute for field teams and operating sites. Match the format and connectivity plan to the work and location.
Outdoor scenes illustrate site contexts. Operating conditions and protective infrastructure must be agreed for your configuration.
- Starting point
- A field team, remote site or operating facility
- Deployment scope
- Leased local compute with private AI software
- Before deployment
- Power, environment and connectivity reviewed
Beyond the city
Different places.
Local priorities.
Deployment scope
Choose the format for your site.
All three Edge systems are available to lease. Select compute separately for your models and expected demand.
Compare Edge systems- Edge 100 · Portable
- A carry-handle system for field teams and local workspaces. Plan a suitable work surface, power and ventilation wherever it will operate.
- Edge 200 · 7 feet wide
- A dedicated site module for local AI services. Transport, a prepared base and the power and cooling plan form part of the deployment review.
- Edge 300 · 10 feet wide
- A wider site module, with compute selected for your workloads. Plan installation access and infrastructure around the quoted configuration.
Limited connectivity or air-gapped?
Identify which functions need a connection. True air-gapped operation has no live external control: management stays on site, with agreed offline model delivery, updates and support.
Width does not determine compute capacity. The lease quote defines the configuration, power requirements, suitability for site conditions and service scope. Outdoor or all-weather suitability is not assumed.
Your next step
Plan your remote-site deployment.
Share the use case, location, site conditions, power and connectivity available to your team.
Schedule Demo