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Quick Recap: AI Frontier Summit 2026 #techweek #sftechweek
What's new in Ray and Anyscale: KubeRay Connect, Native RDMA, and more | Ray Summit 2026
Building an AI Science Factory | Andrew Beam (Lila Sciences) | Ray Summit 2026
Ray Train on Anyscale: Observability and Reliability at Scale | Anyscale | Ray Summit 2026
Production-Ready Distributed Inference with Ray Serve | Anyscale | Ray Summit 2026
Towards Clinically Grounded LLMs | SonderMind | Ray Summit 2026
State of vLLM 2026 | Inferact | Ray Summit 2026
The Synthetic Data Flywheel | Pinterest | Ray Summit 2026
Ray and MAI-Thinking-1 | Microsoft AI | Ray Summit 2026
Ray Summit 2025 Keynote Day 1| Where AI Builders Shape What's Next
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Last Updated: October 14, 2026
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Summary
The next evolution of AI is not bigger models. It's AI that knows you: your data, your workflows, your customers. Using AI is good. Anyscale and Nscale are coming together to build a vertically integrated, AI-native computing stack, optimized across every layer ... Only about 5% of scientific hypotheses can be verified cheaply. The rest require real experiments, which makes most of science ... Miles is an enterprise-facing agentic RL framework for large-scale PyTorch post-training. At Modern models can span thousands of GPUs and months of training. At this scale, failures become the norm, costing GPU hours ... "Github repository: github.com/anyscale/ Mental health support represents a top use case for LLMs, making safe, clinically faithful models an urgent need. In-context ... vLLM's engine, ecosystem, and contributor base are all growing fast. This talk surveys where the project stands and the roadmap ... Generating millions of synthetic preference pairs for training requires orchestrating GPU inference, rate-limited search APIs, and ... Watch the keynote recording to hear Anyscale CEO Keerti Melkote discuss the evolution of computing and the growing need for a ...