Nebius AI Cloud Unveiled. London Meetup
At Nebius, we’re creating an AI Cloud — a cutting-edge cloud platform designed exclusively for AI practitioners. It provides seamless AI solutions accelerated by NVIDIA, popular MLOps tools and a scalable inference platform to support AI application development.
Ready to meet the team behind it all?
Join us at CodeNode, London, on Wednesday, February 26, for an exclusive look into Nebius AI Neocloud, our cutting-edge platform designed for explorers and innovators.
Whether you’re developing AI models, scaling ML workloads or deploying AI applications, this is a great opportunity to connect with our developers, product experts, architects and the NVIDIA team.
What’s in store?
- An insider’s look at Nebius architecture and development principles.
- Insights into NVIDIA Blackwell Architecture.
- A deep dive into how we developed a Kubernetes operator for Slurm.
- Discover how test-time computation unlocks the potential of agentic systems.
And much more!
Plus, all attendees will receive free credits to try out our GPU Cloud Accelerated by NVIDIA and explore the new text-to-image functionality in AI Studio.
Agenda
13:00 — Registration & welcome coffee
Start the day with networking and refreshments.
14:00 — Introduction
Narek Tatevosyan, Nebius
Setting the stage for an afternoon of innovation and discovery.
14:10 — How we build cloud for AI workloads
Narek Tatevosyan & Gleb Kholodov, Nebius
An in-depth look at the hardware and software architecture powering AI applications.
14:45 — NVIDIA Blackwell Architecture vs Hopper™ architecture
Adam Grzywaczewski, Senior deep learning data scientist at NVIDIA
Explore key highlights and guidance for choosing the best architecture for your AI projects.
15:30 — Break
15:45 — Marrying Slurm and Kubernetes for workload management
Grigorii Rochev, Nebius
Discover Soperator, a Slurm-based workload manager for ML and HPC clusters.
16:15 — What it takes to win the large-scale training game: we made the mistakes, so you don't have to
Vasily Pantyukhin, Nebius
Avoid the top mistakes and master best practices for scaling AI models.
16:45 — Improving agentic systems with test-time computation
Boris Yangel, Nebius
Talk about our recent research on combining guided search with agent inference, and how these techniques enable us to build better software engineering agents.
17:15 — Inference, all you need to know about it
Nikita Vdovushkin & Roman Gaev, Nebius
Our experience on building inference. Tips on choosing inference providers and GenAI models.
17:45 — Closing remarks
Narek Tatevosyan, Nebius
18:00 — Networking, drinks and bites
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