
A focused, in-person gathering designed exclusively for engineers building and deploying production AI systems. This is not a broad conference â it's a tight-knit technical afternoon for practitioners who want to learn directly from others doing the real work.
Nebius Build / London brings together builders tackling how AI is actually deployed and scaled in the real world. Expect deep dives into distributed training, post-training, inference, agentic workflows, and running AI systems at production scale.
đœïž 12:00 PM â 1:00 PM â Lunch
đ€ 1:00 PM â 1:05 PM â Opening Remarks
Waqas Makhdum, Vice President of Developer Relations & Community, Nebius
đ 1:05 PM â 1:25 PM â Pre-training at JetBrains: Fast MoE Perfectly Fit for H100/200 GPUs
Ivan Dolgov, Head of ML, JetBrains
âïž 1:30 PM â 1:50 PM â Efficient Open-Source Model Inference on Nebius AI Cloud
Daria Balashova, AI Engineer, Nebius
â 1:50 PM â 2:20 PM â Break
đ 2:20 PM â 2:40 PM â Developing Deep Learning Models for Robotaxis
Kira Kempinska, Engineering Manager, Driving Product, Wayve
đ 2:45 PM â 3:25 PM â Giving Real-Time Intelligence to OpenClaw with Nebius Token Factory + Tavily
Sujee Maniyam, Developer Advocate, Nebius
Tamir Katz, Engineering Team Lead, Tavily
đ» 3:30 PM â 3:50 PM â SWE-rebench: Lessons from Evaluating Coding Agents on Real Software Engineering
Ibragim Badertdinov, Lead Research Engineer, Agentic Data, Nebius
â 4:20 PM â 4:40 PM â Topic Coming Soon
Ignacio Sarasua, Sr. Solution Architect, NVIDIA
đ€ 4:45 PM â 5:15 PM â Physical AI Skill Training Using Serverless Jobs on Nebius
David Dobas, Robotics Research Engineer, UFB
Dhruv Diddi, Founder, Solo Tech
đ€ 5:15 PM â 6:00 PM â Networking
đ Sign up here
Spots are limited â this is a small, intentional gathering for serious technical builders.
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