
A focused, in-person gathering designed exclusively for engineers building and deploying production AI systems. This is not a broad conference — 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.
🍽️ 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
Spots are limited — this is a small, intentional gathering for serious technical builders.
LABS House
VeibeskrivelseLABS House
Veibeskrivelse