Agentic AI
Articles (6)
The training stack is starting to optimize itself
Anthropic’s 2.9× to 51.9× training-optimization curve signals that AI training infrastructure is becoming machine-optimizable, raising rebound demand and control-plane risks for HPC operators.
Argonne Turns a Plain-English Prompt Into 11,182 GCMC Runs on Aurora
A planner/executor agent hierarchy drove a 5,591-MOF screening campaign across 256 Aurora nodes. Orchestration overhead came in under 90 seconds per run.
IBM's Arm Partnership Bets on Dual-Architecture Enterprise AI — But the Benchmarks Aren't There Yet
IBM's Arm collaboration introduces Telum II and Spyre for enterprise AI, but lacks benchmarks, named customers, and CUDA compatibility disclosure.
AI Costs Are Falling 1,000x. It Is Not Enough.
AI inference costs have fallen 1,000x yet agentic workloads still cost hundreds daily, as Anthropic blocking OpenClaw from subscriptions proves consumer pricing cannot absorb real infrastructure economics.
Five Vendors, One Month: Confidential Computing Arrives for AI Agents
AI agents are now high-privilege actors inside corporate networks, and the existing security stack was not built for them.
Agentic AI in 2026: The Infrastructure Isn't Ready for What's Coming
Chatbot inference is stateless and cheap. Agentic AI is persistent, multi-step, and compute-hungry. The data center architectures built for one don't work for the other.