Nebius.Build/BER
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.
Nebius.Build/BER brings together engineers from Nebius and partners including Anyscale and Tavily, with sessions covering distributed training, running open source models in production, and scaling workloads across large GPU clusters. The program includes a mix of technical talks, partner sessions, and a hands-on workshop, where you can deploy your own model and connect it to a working inference pipeline.
The program includes talks on real architecture breakdowns and implementation details from teams running production systems, with discussion of inference scaling, latency, reliability, and cost-performance tradeoffs, alongside practical deployment workflows.
The content runs from 13:00 to 16:30, followed by a networking reception and a help bar, allowing time to connect directly with engineers and peers.
Registration for this event is now closed due to high demand. Please keep and eye on the registration page, in case places becomes available.
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
Participate in workshops and walkthroughs focused on real deployment scenarios
Who should attend
Full agenda
12:00-13:00 –– Registration and lunch
13:00-13:15 –– Opening remarks and scene setting
Waqas Makhdum, VP of Developer Relations & Community, Nebius
13:15–13:45 –– From prototype to production: reliable clusters for large scale distributed training
Evgeny Arhipov, Head of Scheduler Services, Nebius
13:45–14:30 –– Optimizing open models for scale: Practical techniques for scaling inference
Dylan Bristot, Product Marketing, Token Factory
Sujee Maniyam, Developer Advocate, Token Factory
14:30-15:00 –– Coffee break
15:00-16:05 we’re holding breakout sessions, please select your preferred track on the registration form
Track 1 — Talks
15:00–15:25 –– Physical AI at scale: Efficient VLA training on hundreds of GPUs
Carl Winkler, Member of Technical Staff, Anyscale
15:25–15:40 –– The VLA Reality Check: What we learned running models on real robots
Sergey, Founder, Positronic Robotics
15:40–16:05 –– Agentic Search: Context Management in Research Agents
Evan Rimer, Forward Deployed Engineer, Tavily
Track 2 –- Workshop
15:00–16:05 –– Hands-on with OpenClaw: Bring your own model
Mikhail Rozkhov, Technical Program Manager, Nebius
16:05–16:15 –– Coffee break
16:15-16:30 –– Video Search and Summarization at scale with NVIDIA Metropolis
Antonio Rueda-Toicen, Developer Relations, NVIDIA
16:30–16:40 –– Demo: Near real-time editing with FLUX.2 [Klein]
Stephen Batifol, Developer & Creative Growth, Black Forest Labs
16:40–16:55 –– Fireside chat
Waqas Makhdum, VP of Developer Relations & Community, Nebius
Stephen Batifol, Developer & Creative Growth, Black Forest Labs
16:55–17:00 –– Wrap up and closing remarks
Waqas Makhdum, VP of Developer Relations & Community, Nebius
17:00 –– Help bar with networking drinks and bites
Meet the Nebius technical team, along with experts from partner companies, for questions and discussions
Impact Hub Berlin
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