Scheduling Autonomous Agents on Shared Compute
GPU schedulers must treat multi-step agent workflows as single units, not isolated requests.
Priya Subramaniam
Staff Writer
Priya Subramaniam
Priya spent eight years as a platform engineer at a mid-sized fintech before pivoting to technical writing and analysis focused on distributed systems and runtime behavior. She covers the low-level mechanics of how agent frameworks schedule, branch, and fail — with a preference for reproducible examples over hand-waving.
5 stories
Agent Lifecycle Primitives and State Machines
Explicit state machines make agent behavior auditable and predictable.
Priya Subramaniam
Execution Context Isolation in Multi-Tenant Agent Runtimes
Isolating agent-generated code requires moving beyond containers to protect against kernel exploits.
Priya Subramaniam
Scheduling Strategies for Concurrent Agent Workloads
Operating systems solved this decades ago; AI agents need the same scheduling primitives.
Priya Subramaniam
Designing Circuit Breakers for Autonomous Agents
Agent failures need different controls than microservice outages demand.
Priya Subramaniam