Your infrastructure boundary
Plan deployment on your own hardware or within a private environment. Network access and runtime configuration stay part of your operating model.
LOCAL AI Server · Coming soon
Private inference.
Shared by your team.
A self-hosted inference layer for infrastructure you operate. LOCAL AI Server is coming soon.
Planned experience
Local inference. Team scale.
Self-hosted inference for teams. Keep the runtime on your infrastructure and make local models available on your terms.
LOCAL AI Server is planned software, not a hosted endpoint. No API or running service is exposed by this website.
LOCAL AI ServerSIMULATED UI
Inference overviewExample environment
On-premDeployment target · example
PrivateNetwork mode · example
Inference endpointSimulated
Access policyTeam only · example
request policy check
local runtime response
local runtime response
Planned control plane · simulated status
Product direction
Built around your control.
These are design intentions for the planned product. Availability and final scope will be confirmed at launch.
Access with intent
The planned service will support controlled team access. Authentication, network policies and audit requirements will be defined before release.
Models for your workload
Evaluate model behaviour and resource needs against the requests your team actually sends. Avoid choosing a runtime on a benchmark alone.
Operations you can own
The product direction includes explicit configuration and operational documentation. Updates, recovery and capacity remain responsibilities to plan for.
Before you get started.
There are no installers, downloads or active endpoints in this preview. Compatibility, supported platforms and release requirements will be published with early access.
- Review model licences for your intended use.
- Plan memory, storage and operational responsibilities.
- Keep sensitive data out of unreviewed workflows.
Your AI. Your hardware.
Your next move.
Help shape LOCAL AI. Tell us what you want to run.