Skip to content
mycustomAI
Architecture & Deployment

VPC & Private Cloud Deployment

AI deployed inside your AWS, GCP, or Azure VPC. Customer-managed keys, customer-controlled networking, no path off your environment.

What it is

VPC deployment means inference, retrieval, and data plane all run inside the customer's virtual private cloud (AWS, GCP, Azure, or equivalent). Encryption keys are customer-managed via KMS. Network paths are customer-controlled. The model provider has no access to anything.

What we deliver

  • Inference servers (vLLM, TGI, sglang) on customer GPU infrastructure
  • Vector database and retrieval inside customer VPC
  • Customer-managed KMS for at-rest and in-transit encryption
  • Private subnets, deny-all egress where applicable
  • Service mesh and east-west encryption for tenant isolation
  • Compliance documentation matched to your regulatory footprint

Why this matters

VPC is the most common deployment shape for regulated cloud-native customers. Once shipped correctly, the architecture pattern is reusable across new customers and new use cases — which is exactly why we've shipped six iterations of it.

Engagements that include this

How we deliver it.

Get started

Ready to ship this inside your environment?

Bring your use case to a 30-minute discovery call. We'll tell you whether this technology fits and how it gets deployed.