AI Context x ContainerDays Singapore
27 Oct, 9:00 AM – 28 Oct 2026, 5:00 PM
9 AM – 5 PM
Suntec Singapore Convention & Exhibition Centre · Singapore, India
Your Pass to AI Context Series + ContainerDays Singapore.
The AI Context Series returns to Singapore in October 2026 - a two-day gathering bringing together protocol builders, infrastructure engineers, and enterprise teams deploying agentic AI systems in production.
This event focuses on the realities of scaling agentic AI across organizations, alongside deep technical perspectives on the protocols, tooling, and infrastructure that make these systems work in practice.
AI Context is built for those past the hype and focused on execution. A working conference for people shaping how agentic systems connect to tools, data, and real-world environments.
Co-located with ContainerDays Singapore Your ticket gives you full access to both AI Context and ContainerDays Singapore - two shows, one pass, two full days of content and community. Dive deep into the future of agentic AI, while also tapping into one of Europe’s leading events on cloud-native, DevOps, and container technologies.
Practical, in-depth sessions on implementing agent-to-tool communication protocols in real systems
Enterprise perspectives on deploying agentic AI in production environments
Insights from open-source contributors and engineering teams building the ecosystem
A curated audience of developers, platform engineers, researchers, and technical leaders
Cross-pollination with the container, DevOps, and cloud-native communities through ContainerDays Singapore
It’s where the builders shaping the future of agentic AI and the teams redefining cloud-native infrastructure come together - to swap notes, share what’s working, and push the ecosystem forward.
When Tokens Stop Being the Bottleneck: Operating Agentic Software Factories
Agent Memory Is Infrastructure: Building Observable Context for Production Agents
Governing the Agentic Stack on Kubernetes: A Reference Architecture for MCP, A2A and LLM Traffic
Building Voice Agents with MCP: Architecture Patterns for Contextual Voice Applications
Your Agent Trace Is Missing the Code: Runtime Observability for Long-Horizon Agents
The Memory-Bandwidth Wall: A Field Guide to Min-Maxing LLM Serving with vLLM
Give Your AI Agents a Sandbox: Running Untrusted Agent Code Safely on Kubernetes
From Data to Decisions: Why Context Is the Missing Layer in Enterprise AI
User Uploaded Image Ajeet Raina — Docker
Ryan Djurovich — Nadrama.com
Carl Ross — OpenAI
Sivaiah Yakkanti — AMD
Stephen Ho — SkyLab
Thorsten Hans — Akamai Technologies
Zhong Liang Ong — Liftoff Mobile
Manish Katyan — Rakuten
Yashod Perera — WSO2
Jyoti Bisht — Independent
Robin Cher — Kong
Khang Toh — DKatalis / Bank Jago
Andrew Schwabe — QCoda
Lộc Đinh Tấn — Greennode
Raluca Crisan — Etiq AI
Steve Ng — Digital Futures Consultancy
Ivan Porta — Todea
Aditya Joshi — Walmart
Marcus Ross — Techniker Krankenkasse
And more!