Solution
Private AI systems designed around your data, workload, and operational requirements.
On-premise, hybrid, and edge AI evaluated against the tradeoffs that actually matter — data sensitivity, latency, cost, and long-term maintenance.
What Private AI covers
- On-premise AI
- Hybrid AI
- Local language models
- Private company knowledge systems
- Edge AI
- GPU workstations
- GPU servers
- Role-based access
- Backup and disaster recovery
- Monitoring
- Employee training
- Lifecycle management
Reference systems
Three conceptual tiers — subject to workload assessment. No fixed hardware promises.
Tier 1
AI Office Node
Internal knowledge, document assistance, and light departmental automation.
For: Small teams
Configuration is conceptual until workload assessment defines final specifications.
Tier 2
Department AI Server
Multiple users, larger models, voice or document processing, and several AI agents.
For: Departmental workloads
Configuration is conceptual until workload assessment defines final specifications.
Tier 3
Private AI Platform
High-capacity workloads, advanced integration, regulated environments, or multi-GPU requirements.
For: Organization-wide deployment
Configuration is conceptual until workload assessment defines final specifications.
All configurations are labeled conceptual and subject to workload assessment. Sponsored hardware, laboratory equipment, and vendor partnerships are only referenced when formally established.
How the assessment works
- 1
Data and workload characterization
- 2
Architecture tradeoff analysis (cloud, hybrid, on-premise)
- 3
Model and hardware requirements sizing
- 4
Deployment plan with lifecycle and cost modeling
- 5
Written recommendation with alternatives, not a single pre-selected answer
Not every organization needs Private AI. We help you figure out whether yours does.
The Private AI Assessment produces an honest recommendation — including when cloud or hybrid is the better fit.