Teams must demonstrate business value while navigating growing inference demand, increasingly complex agentic workflows and a mix of models.
Success depends on how the entire system performs – from compute and data infrastructure to model serving and continuous improvement.
Join Nebius product marketing and product leaders for a practical introduction to the infrastructure behind production AI. We’ll explore what we are hearing from customers and overall trends, what’s changing with how fast AI is moving and the benefits to businesses, and how training, post-training, inference and agents place different demands on performance, reliability and cost.
Through a platform walkthrough and customer examples, we’ll show how Nebius connects purpose-built infrastructure and model freedom to business value.
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
Anton Smith
Director, Product Management, Nebius
