IBM and CoreWeave co-design controls for agent workloads
Agent workloads need new infrastructure rules. IBM and CoreWeave are co-designing isolation and control planes to run agents safely at scale.
Why it matters
As agent deployments move from research to production, infrastructure must isolate workloads that interact with external tools and services—a practical systems challenge distinct from training compute. IBM and CoreWeave's co-design signals industry-wide shift from compute-optimized to agent-aware infrastructure.
The key facts
9 to knowAgent workload isolation emerging as practical infrastructure challenge
IBM Research infrastructure evolving to support varied agent workloads
CoreWeave and IBM co-designing controls for agent execution
Workloads now interact with tools, storage, and external services
Reinforcement learning workloads cited as driver (incomplete content)
Agent workload isolation is becoming a practical infrastructure challenge as teams move beyond model training to running agentic code
Systems must accommodate workloads that interact with tools, storage, and other services — not just intensive computation
IBM Research infrastructure evolving to support increasingly varied workloads as model development practices shift toward agents
Reinforcement learning and agent interaction patterns requiring new control and isolation primitives
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Publisher excerpt: Agent workload isolation is becoming a practical infrastructure challenge as research teams move beyond training models to running code and testing agents. Systems built for intensive computation must now accommodate workloads that interact with tools, storage and other services. IBM Research’s…