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Serving vLLM on Agentic Production Workloads | Inferact | Ray Summit 2026
Inside Lila's AI Research Platform | Lila Sciences | Ray Summit 2026
Adapting Ray to Scale RL Training for Nemotron | NVIDIA | Ray Summit 2026
Ray Summit 2026: The Shift to Building & Owning AI
Scaling Physical AI & Robotics Systems with Ray | Anyscale | Ray Summit 2026
One Cluster, End-to-End | AWS | Ray Summit 2026
Ray Summit 2026: 2-minute Recap
Cost-Effective RL Post-Training with Ray and AWS Trainium | AWS + Anyscale | Ray Summit 2026
Full-Stack Observability in Ray: Infrastructure Signals in Ray Dashboard | Google | Ray Summit 2026
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Last Updated: October 3, 2026
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Summary
GPU utilization is a useful first signal, but past a point it decorrelates from real progress: a busy GPU is not always a fast one. Autonomous trucking is hard. Torc generalizes the task planning stack with reinforcement learning, running two very different RL ... Agents have taken center stage in Agentic production traffic brings long multi-turn sessions, heavy prefix reuse, and bursty, heterogeneous requests that challenge ... Nemotron is one of the leading open model families pushing the frontier of large-scale reinforcement learning. "Github repository: github.com/anyscale/ Miles is an enterprise-facing agentic RL framework for large-scale PyTorch post- Debugging distributed ML jobs on Kubernetes is difficult because of the visibility gap between failures at the infrastructure layer ...
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