Private Deployment
Fully private LLM deployment (on-prem or VPC) with security, compliance, and governance.
Privacy-first stacks for regulated environments.
Problem
Public LLM APIs can’t meet data residency and governance requirements.
Solution
Host open-source models privately with telemetry, RBAC/SSO, encryption, and audit logging.
Key Capabilities
Model hosting & scaling
Security & governance
Observability & telemetry
MLOps and updates
How it works
1Step 1
Provision: on-prem or VPC infrastructure
2Step 2
Deploy: curated OSS LLMs (quantized if needed)
3Step 3
Secure: RBAC/SSO, encryption, audit
4Step 4
Operate: telemetry, upgrades, guardrails
Integrations
KubernetesVault/KMSPrometheus/GrafanaOkta/AAD
Security & compliance
Network isolation
Secrets mgmt
Comprehensive auditing
Performance & SLOs
- Autoscaling, batching
- GPU utilization
- Latency SLOs
Pricing model
Fixed-price delivery + monthly support