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

​Building and scaling LLM systems means making difficult engineering decisions and tradeoffs across training, adaptation, inference and deployment.

​Join us in London for a technical evening tracing the LLM lifecycle from pre-training and post-training to inference and production use.

​Speakers from Nebius, Red Hat, Poolside, SpinnerAI and Cohere will share practical insights and lessons from reinforcement learning, large-scale training, scaling laws and context extension, enterprise post-training and reducing inference costs for self-improving agents.

​Four 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 | Inference optimization

  • ​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.
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