From training to production: building and scaling real-world LLMs

Speakers from Nebius, Red Hat, Poolside, SpinnerAI and Cohere will share practical insights and lessons from reinforcement learning, large-scale training, enterprise post-training, and inference optimization for production systems and self-improving agents. Five technical talks, followed by discussion and networking with speakers and attendees over beers and bites.Space is limited. RSVP to secure your spot! Agenda 18:00 | Doors open & networking 18:15 | Welcome from Nebius 18:20 | Reinforcement Learning for LLMs in Practice Alexander Golubev, Research Lead, Nebius 18:45 | Lessons with large scale training, scaling laws, context extension George Grigorev, LLM Pre-training Expert, Poolside 19:10 | Break, drinks & bites 19:40 | Post-Training LLMs for Enterprise Use: Bridging the Gap Between General-Purpose Models and Real-World Deployment Xiaolu Lu, Machine Learning Engineer, Cohere 20:05 | Accelerating LLM Inference with vLLM Eldar Kurtic, Inference Research Lead, vLLM / Red Hat 20:30 | How to decrease your inference costs ×-times via a Unified Knowledge Layer for self-improving agents Kir Zharov, Founder, CEO, SpinnerAI 21:00–22:00  | Networking drinks and bites About Nebius: Nebius is the AI cloud company, delivering a unified platform that spans the complete AI journey, from data and model training and tuning to production runtime and deployment. Founded around deep in-house technological expertise, Nebius brings a strong engineering culture rooted in designing and operating large-scale platforms that run reliably at global scale. Photos may be taken at this event and used across Nebius' communication channels. If you'd rather not be photographed, please let a member of the Nebius team know.______________________________________________________By registering to this event, you agree to receive communications from Nebius. You can unsubscribe at any time. For information on our privacy practices and how we are committed to protecting and respecting your privacy, please review Nebius’ Privacy Policy.