Your roadmap says production. Your pilot says otherwise.

Inference demand is climbing. Agentic workflows are getting more complex. Your stack now has three models doing the job one used to. Meanwhile the budget holders want proof it's all paying off.

In this live working session, Nebius product leaders open up the full system behind production AI, from compute and data infrastructure to model serving and continuous improvement. They'll show where it breaks and what it takes to turn ambition into outcomes you can defend.

This session runs live once, with no replay, so bring your hardest production question.

One-time session only. The live Q&A goes to whoever's in the room.

Sound familiar?

  • If you train models: Your training and post-training runs stall on compute you can't get, or clusters you can't trust to stay up.
  • If you run them in production: Inference traffic doesn't look like the benchmark. Latency spikes, costs climb, and reliability becomes your whole week.
  • If you build on them: The agent that worked in the demo is now chaining calls and burning tokens, and you're locked into a model you picked six months ago.
  • If you lead AI across the business: You've shipped pilots. Now you have to prove business value before the next budget cycle.
  • If you pay for it: Compute is your fastest-growing line item, and nobody can tell you what next quarter will cost.
  • If you're a founder: Every GPU hour comes out of runway, and re-platforming at scale isn't an option.

This session is built for all of it.

What you'll leave with

→ What's actually changing. What Nebius is hearing from customers right now, and what the pace of AI means for your roadmap.

→ Why every workload is a different problem. How training, post-training, inference, and agents each put different pressure on performance, reliability, and cost and how to plan for all of them at the same time.

→ The platform, live. A walkthrough of how purpose-built infrastructure and model freedom connect to business value.

→ Results from the field. Customer examples of teams that have moved from ambition to production outcomes.

Your speakers

Kostas Roungeris
Senior Director, Product Marketing, Nebius
[Bio + headshot to come]

Anton Smith
Director, Product Management, Nebius
[Bio + headshot to come]