Nebius.Build/LON
The Nebius.Build Tour is a series of in-person technical gatherings designed for engineers working on real-world AI infrastructure. Join ML engineers, platform architects, and technical founders for deep dives into deploying, scaling, and operating AI systems in production.
This is not a marketing conference — it’s a focused environment for builders to share architecture patterns, lessons learned, and practical approaches to running AI workloads at scale.
Why attend:
- Learn from engineers running production systems
- Hear real architecture breakdowns and implementation details from teams deploying AI at scale
- Go deep on infrastructure and performance
- Explore topics like inference scaling, latency optimization, reliability, and cost-performance tradeoffs
- Hands-on technical sessions
- Participate in workshops and walkthroughs focused on real deployment scenarios
- Talk to Nebius and engineers directly — join open Q&A sessions and architecture discussions with Nebius engineers and peers
Who should attend:
- ML infrastructure engineers
- AI / ML platform engineers
- Principal engineers and architects
- Technical startup founders and CTOs
- Developers building or scaling AI systems
Register your interest to receive updates on upcoming events and be the first to secure a place when registrations open near you.
Timings
12:00-1:00 pm –– Registration and lunch
1:00-1:05 pm –– Welcome & Opening Remarks
Waqas Makhdum, VP of Developer Relations & Community, Nebius
1:05-1:30 pm –– Pre-training at JetBrains: fast MoE perfectly fit for H100/200 GPUs
Ivan Dolgov, Head of ML, JetBrains
1:30-1:50 pm –– Scaling AI Workloads with Serverless
Andrei Kiparis, Senior Product Manager, Nebius
1:50–2:10 –– Developing Deep Learning Models for Robotaxis
Kira Kempinska, Engineering Manager, Driving Product, Wayve
2:10–2:30 –– Coffee Break
2:30–3:10 –– Giving Real Time Intelligence to Open Claw with Nebius Token Factory + Tavily
- Sujee Maniyam, Developer Advocate, Nebius
- Tamir Katz, Engineering Team Lead, Tavily
3:10–3:30 –– Efficient Open-Source Model Inference on Nebius AI Cloud
Daria Balashova, AI Engineer, Nebius
3:30–3:50 –– SWE-rebench: Lessons from Evaluating Coding Agents on Real Software Engineering
Ibragim Badertdinov, Lead Research Engineer, Agentic Data, Nebius
3:50–4:10 –– Coffee Break
4:10–4:30 –– Customizing Open Models for Healthcare: Leveraging Nemotron and the NVIDIA Ecosystem
Ignacio Sarasua, Sr. Solution Architect, Nvidia
4:30–4:50 –– Physical AI Skill Training Using Serverless Jobs on Nebius
- David Dobas, Robotics Research Engineer, UFB
- Dhruv Diddi, Founder, Solo Tech
4:50–5:00 –– Wrap up and Closing Remarks
Waqas Makhdum, VP of Developer Relations & Community, Nebius
5:00–7:00 –– Networking
Ever wondered how to fine-tune a model when real-world medical data is scarce or sensitive? Join our morning workshop with NVIDIA to bridge the gap. We will walkthrough how to generate synthetic data using NVIDIA NeMo Data Designer, then progressing through Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL) using NVIDIA NeMo RL to tailor models for healthcare applications.
Places are limited, find out more info or register.
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