Nebius.Build/LONDON
Join this small, in-person gathering for engineers building production AI systems.
Nebius Build / London is for builders working on how AI actually gets deployed and scaled in the real world. The day is focused on practical topics like distributed training, post-training, inference, agentic workflows, and running AI systems in production.
You’ll hear from engineers at Nebius and technical partners across the AI space, join a hands-on workshop, and meet other builders working on real systems.
This is not a broad conference. It is a focused afternoon for technical people who want to learn from others doing the work.
What we’ll cover
large-scale distributed training
post-training and serving open models in production
agentic search and context management
hands-on workflows with OpenClaw and bring-your-own-model setups
Agenda
12:00 PM – 1:00 PM
Lunch
1:00 PM – 1:05 PM
Opening Remarks
Waqas Makhdum, Vice President of Developer Relations & Community, Nebius
1:05 PM – 1:25 PM
Pre-training at JetBrains: Fast MoE Perfectly Fit for H100/200 GPUs
Ivan Dolgov, Head of ML, JetBrains
1:30 PM – 1:50 PM
Efficient Open-Source Model Inference on Nebius AI Cloud
Daria Balashova, AI Engineer, Nebius
1:50 PM – 2:20 PM // Break
2:20 PM – 2:40 PM
Developing Deep Learning Models for Robotaxis
Kira Kempinska, Engineering Manager, Driving Product, Wayve
2:45 PM – 3:25 PM
Giving Real-Time Intelligence to OpenClaw with Nebius Token Factory + Tavily
Sujee Maniyam, Developer Advocate, Nebius
Tamir Katz, Engineering Team Lead, Tavily
3:30 PM – 3:50 PM
SWE-rebench: Lessons from Evaluating Coding Agents on Real Software Engineering
Ibragim Badertdinov, Lead Research Engineer, Agentic Data, Nebius
4:20 PM – 4:40 PM
Topic Coming Soon
Ignacio Sarasua, Sr. Solution Architect, NVIDIA
4:45 PM – 5:15 PM
Physical AI Skill Training Using Serverless Jobs on Nebius
David Dobas, Robotics Research Engineer, UFB
Dhruv Diddi, Founder, Solo Tech
5:15 PM – 6:00 PM // Networking
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