Architecture decisions
Private AI Comparisons
Balanced comparisons for teams deciding between controlled private AI infrastructure and hosted AI workspaces.
Key considerations
Control
Where data, models, and policy live.
Responsibility
Which team owns upgrades, monitoring, and recovery.
Fit
When private or hosted architecture is the better choice.
Choose by constraints, not slogans
Private and hosted AI approaches solve different operating problems. Comparisons should make ownership and tradeoffs explicit rather than declaring one architecture universally superior.
Private deployment consultation
Review Pulsar against your environment.
Bring the infrastructure, security boundaries, model runners, and use cases. The Pulsar team will map the appropriate deployment path.