security · 1 min read
VPC and On-Prem Deploys: When Cloud-Hosted AI Is Not Enough
Some workloads cannot leave your network. Here is how Bhogar AI deploys into customer VPCs and air-gapped environments without losing platform features.
BABhogar AI TeamProduct & Engineering
Regulated workloads, sovereign-data requirements and contractual constraints sometimes mean cloud-hosted AI is a non-starter. The answer is a deploy model that puts the platform in your environment.
Why it matters
The trick is keeping the platform features (gateway, agents, workflows, KBs, observability) intact in a tenant-controlled environment, with upgrades that do not require platform-team SSH.
How Bhogar AI approaches it
Bhogar AI ships Helm charts for AKS/EKS/GKE/OpenShift and OVA images for fully air-gapped environments. Upgrades are signed and verified; telemetry can be opted out of entirely.
- Helm charts for AKS, EKS, GKE, OpenShift
- OVA images for air-gapped environments
- Signed and verified upgrades
- Optional telemetry with full opt-out
- Same observability, RBAC and gateway in every deploy
What you get
Customers in defence, healthcare and finance run Bhogar AI inside their perimeter while still benefiting from the upstream product roadmap.