Enterprises Move Agents Into Persistent VPC Workstations
By 2025, enterprises are abandoning stateless serverless architectures for AI agents, shifting deployments into virtual private clouds (VPCs) and on-premises environments and adopting persistent cloud workstations for execution. Vendors such as Snowflake (Cortex), OpenAI and Anthropic demonstrated or enabled VPC-native model execution and session-oriented workspaces that keep embeddings, logs and tool calls inside customer perimeters. The change forces redesigns of orchestration, cost models, identity and audit tooling to treat agent sessions as primary compute units.
Key Points
- 1Shift deployments to VPC or on-premises for agent workloads handling sensitive data and internal APIs.
- 2Adopt persistent cloud workstations because agents require long-lived state, tooling, caches and multistep continuity.
- 3Rebuild orchestration and governance to manage agent sessions, scheduling, auditing, and isolation at session-level.
Scoring Rationale
Industry-wide, actionable architecture shift supported by vendor examples; high credibility but primarily descriptive rather than experimental.
Sources
Public references used for this report.
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