Production AI takes more than compute. It takes purpose-built infrastructure, connected developer workflows, and teams that know how to turn ambitious models and agents into reliable systems. Fully Connected 2026 brings together more than 2,000 AI engineers, researchers, platform leaders, and executives for three days of keynotes, technical breakouts, hands-on labs, and candid conversations about what it takes to build, scale, and run AI in production.
What you’ll learn
How leading teams design the networking, storage, compute, and developer infrastructure required to support production AI
Practical approaches for moving models and agents from experimentation to reliable, scalable production
Lessons from real-world AI deployments, including the technical tradeoffs and operating patterns that matter at scale
How infrastructure, models, developer tooling, and industry-specific workloads are coming together across the evolving AI stack
Best practices for building repeatable AI systems that teams can operate, evaluate, and continuously improve
What you’ll walk away with
Practical systems and workflows you can apply to your own AI initiatives
A clearer framework for making infrastructure, platform, and developer-tooling decisions
Concrete ideas for improving how your team trains models, builds agents, and operates AI in production
Greater technical and strategic clarity around the next stage of your AI roadmap
New relationships with peers, product experts, engineers, and leaders solving similar production challenges
Who should attend
Fully Connected 2026 is built for the people responsible for AI in production:
AI engineers and AI researchers shipping models and applications to real users
Platform engineers who own the systems that set their team’s pace
CTOs, VPs of engineering, and executives making infrastructure decisions their AI strategy depends on
Analysts, partners, and press tracking how AI infrastructure gets built and optimized at scale