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Ray Summit 2025 Keynote: AI OSS Stack Panel with vLLM + PyTorch + Kubernetes
Serving a Frontier Open Model with Ray & vLLM | Nscale | Ray Summit 2026
Model Serving an Opensource model via vLLM on Kubernetes(AKS)- Full Demo
Serving vLLM on Agentic Production Workloads | Inferact | Ray Summit 2026
Ray + Kubernetes: The Distributed OS for AI/ML | Ray on the Road – NYC 2025
LLM Post-Training and High-Performance Serving | Anyscale | Ray Summit 2026
Platform Orchestration: Anyscale + Ray on Kubernetes | Anyscale | Ray Summit 2026
PyTorch loves vLLM | Meta | Ray Summit 2026
Ray Joins The Linux Foundation & PyTorch Sub-Foundation: Toward a Unified AI Compute Stack
Accelerating Large Language Models: vLLM on TPUs | Google | Ray Summit 2026
Unlocking Peak Workload Performance & Efficiency with Ray on Kubernetes | Ray Summit 2025
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Last Updated: October 3, 2026
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Summary
Don't miss out! Join us at our next Flagship Conference: KubeCon + CloudNativeCon events in Amsterdam, The Netherlands ... AI workloads are computationally demanding. They require scale for both compute and data, and they require unprecedented ... The keynote continues with an engaging panel discussion featuring A simpler setup delivered more tokens per second, with the first token arriving sooner for a single request, than the model card's ... In this hands-on project, you'll learn how to deploy and serve a Large Language Model (LLM) on Azure Agentic production traffic brings long multi-turn sessions, heavy prefix reuse, and bursty, heterogeneous requests that challenge ... "Github repository: github.com/ Compute is becoming one of the world's scarcest resources, and intelligent orchestration tuned to your company's needs is ...
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