Cloud Infrastructure
Kubernetes, platform engineering, multi-cloud operations, observability, and resilience.
May 2026 • Dallas, Texas
Where Cloud, AI, and Security Leaders Build What’s Next
A premium, implementation-focused summit for engineers, architects, and enterprise decision-makers building secure AI-powered infrastructure.
150+attendees
20+speakers
4content tracks
Positioning
More focused than a broad AI show
CAIS is designed for practitioners and leaders responsible for shipping, scaling, and securing modern infrastructure.
AI Systems
LLM deployment, MLOps, inference pipelines, data architecture, and production readiness.
Security
Zero trust, runtime defense, AI security, governance, and risk controls for enterprise scale.
Why this summit matters
Most AI initiatives do not fail because of models. They fail because of infrastructure.
Teams rush into AI pilots but struggle with deployment, observability, cost, governance, security, and platform maturity. CAIS is built to solve that gap.
Poor cloud architecture for AI workloads
Weak security around model and data pipelines
No clear path from demo to production
Scaling challenges across teams and environments
Imagine
Imagine what changes when your infrastructure is finally AI-ready.
Deploy with confidence
Run AI workloads on Kubernetes and cloud platforms with the architecture, tooling, and confidence to support production.
Secure what matters
Understand the real security patterns for cloud-native AI systems, from identity and data protection to runtime defense.
Lead the next phase
Become the team that moves past experimentation and starts delivering measurable business outcomes with AI.
What you'll learn
Practical sessions for builders and decision-makers.
AI Infrastructure & MLOps
Model serving, GPU workloads, pipelines, observability, and deployment patterns.
Kubernetes & Platform Engineering
How modern platform teams prepare clusters, developer workflows, and environments for AI apps.
Cloud Security & Governance
Zero trust, runtime security, identity, secrets, policy, and governance for AI systems.
Enterprise Use Cases
Real implementation stories from teams deploying AI in production across cloud environments.
Audience
A high-value room for sponsors
The summit is built to attract technical decision-makers and implementation teams who influence platform purchases, architecture choices, and vendor selection.
Cloud & Platform Engineers
Builders driving tooling and deployment decisions
Security Leaders
Teams evaluating risk, governance, and runtime defense
AI/ML Teams
Operators turning models into production systems
Enterprise Architects
Cross-functional buyers shaping platform strategy
Tracks
Built around four anchor experiences
Keynotes
Visionary talks on the future of cloud-native AI and enterprise-ready security.
Case Studies
Real deployment lessons from teams scaling AI workloads in production.
Panels
Practical debates on cost, security, and platform choices.
Networking
Curated sponsor visibility, hallway conversations, and dinner-level access.
Launch-ready
Use this site as your summit starter kit
Customize dates, speakers, sponsor logos, and ticket links when you are ready to launch publicly.