Sensitive documentation
Equipment manuals, procedures, incident records, and proprietary processes may require tightly controlled handling.
Industrial deployment
Local DeploymentPrivate NetworksControlled AI
You own your data. You control your deployment. You decide where AI runs.
Why local matters
Industrial conditions are not ordinary software conditions.
Limited connectivity
Remote sites and restricted networks cannot assume continuous, high-quality internet access.
Operational continuity
Offline-capable patterns can preserve access during internet outages, subject to the local infrastructure remaining available.
Customer control
The customer defines where data, logs, models, and approved content reside.
No token-based usage charges
Your team can use a deployed local IAS system without paying more for every question, response, or document interaction.
Faster local access
Keeping processing near the data can reduce network travel, though performance depends on the selected hardware and workload.
Deployment choice
Local-first does not mean one-size-fits-all.
Each model is evaluated against data sensitivity, availability, performance, support, network, and change-control requirements.
Onsite appliance
- Best suited for
- Single facility or initial implementation
- Advantages
- Packaged local footprint
- Limitations
- Capacity and redundancy depend on appliance sizing
- Customer requirements
- Rack space, power, network, access, and backup plan
Customer server or private VM
- Best suited for
- Established server or virtualization environments
- Advantages
- Fits customer operating and monitoring practices
- Limitations
- Platform capacity and support must be confirmed
- Customer requirements
- Approved compute, storage, OS, certificates, and administrators
Isolated VLAN
- Best suited for
- Restricted operations with managed internal connectivity
- Advantages
- Clear segmentation and controlled access
- Limitations
- Firewall rules and source connections require coordination
- Customer requirements
- Network zone, routing, DNS, identity, logging, and change approval
Split application and inference nodes
- Best suited for
- Workloads needing separate application and AI compute tiers
- Advantages
- Independent scaling and tighter inference boundaries
- Limitations
- Additional systems and network design
- Customer requirements
- Approved inter-node traffic, sizing, monitoring, and recovery
Offline workstation
- Best suited for
- Small, disconnected, task-specific workflows
- Advantages
- Continued use without internet dependency
- Limitations
- Limited sharing, update, and centralized administration
- Customer requirements
- Physical control and documented content/update transfer
Facility server
- Best suited for
- Multiple teams at one location
- Advantages
- Shared service with facility-level control
- Limitations
- Requires local availability and support planning
- Customer requirements
- Server room, internal access, backups, and named owner
Private multi-site architecture
- Best suited for
- Approved visibility across locations
- Advantages
- Consistent platform with controlled cross-site access
- Limitations
- WAN, latency, and authority boundaries require design
- Customer requirements
- Connectivity, identity, ownership, replication, and failover decisions
Controlled cloud
- Best suited for
- Approved workloads where policy permits
- Advantages
- Broader managed-service and elastic infrastructure options
- Limitations
- External service, connectivity, cost, and data-boundary dependencies
- Customer requirements
- Written approval, service review, identity, encryption, retention, and egress controls
Talk with IAS
Review which deployment model fits the site and security boundary.
IAS will review the operating need, users, information sources, infrastructure, and a practical starting scope with your team.