Build AI Agents That Can Run GPU Workloads For You
Build AI Agents That Can Run GPU Workloads For You
Practical, demo-led session for AI developers and technical leaders
11 September | 10:00 - 11:00
Volvo Studio,Stockholm
Led by Marouane Khoukh, AI Developer Relations Engineer, and Mikhail Rozhkov, Technical Product Manager at Nebius, this practical demo-led session explores how AI agents are moving beyond chat to generate images and videos, orchestrate creative workflows, and automate visual content creation using open source models.
As AI agents become capable of taking actions rather than simply generating text, developers face a new challenge: how can they give agents secure, scalable access to powerful image and video generation models without adding infrastructure complexity? This session explores how Nebius provides the execution layer behind modern AI applications, enabling agents to run GPU-powered generation workloads, deploy open source models, and automate media creation without managing infrastructure.
Through live demonstrations, you’ll see how AI agents can orchestrate image and video generation pipelines by selecting models, executing GPU workloads, managing generated assets, and connecting multiple tools into end-to-end creative workflows.
Discussion topics
Building AI agents that orchestrate image and video generation workflows
Giving agents secure access to GPU-powered image and video generation models
Deploying and serving open-source models and when this makes more sense than using a closed API
Moving from an idea to a production-ready media generation workflow without managing infrastructure
Designed for developers building AI products and infrastructure, this session combines technical explanations with live demonstrations and practical guidance for deploying production-ready generative AI applications.
Who should attend?
This session is designed for developers, engineers, and technical leaders building and operating AI-powered products, including:
AI engineers and ML engineers building agentic features
Backend and full-stack developers adding AI to existing products
Platform, infrastructure, and MLOps engineers responsible for the serving layer
DevOps and SRE teams supporting AI workloads in production
Data engineers running batch or GPU accelerated pipelines
Founding engineers and technical co-founders
CTOs and Heads of Engineering at startups and scaleups
Solutions architects and technical consultants building for clients
Developer advocates and technical community leads
Industries
AI-native software and SaaS
Developer tools and infrastructure
Fintech and insurtech
E-commerce, retail, and marketplaces
Media, creative tools, and gaming
Logistics, industrial, and mobility
Legal, proptech, and professional services
Agencies and consultancies delivering AI solutions for clients
What you’ll gain
A practical framework for separating an agent’s reasoning, execution, and storage layers
A clearer understanding of how to give agents secure access to real compute
Practical criteria for choosing between open source models and closed APIs
A live walkthrough of deploying a GPU workload without managing infrastructure
An understanding of the most important technical and operational risks to consider before shipping
Speakers
Marouane Khoukh
AI Developer Relations Engineer, Nebius
Mikhail Rozhkov
Technical Product Manager, Nebius
This event is part of Nordic Tech Week. If you have any questions, please contact events@nordictechweek.org.