June 11th, 2026 - London, England

Cloud Native & Open Source AI Conference

Where cloud native infrastructure meets the future of AI.

Multi-track conference designed for engineers and leaders working at the intersection of cloud native platforms, open source AI, and production-scale systems.

About the conference

The Cloud Native & Open Source AI Conference brings together engineers, architects, and leaders building at the intersection of cloud native computing and open source AI.

Hosted with BrainStation in London, this is a conference for people building real systems - from Kubernetes-based AI platforms to open source LLM deployments and agentic systems in production.

No vendor roadmaps.

No theoretical future-gazing.

Just practitioners sharing what actually works.

Date

June 11th, 2026

Location

London, England

Venue

BrainStation

Format

In-Person - Multi-Track

Capacity

~120 attendees

Sponsors

Supporting the next generation of cloud native and AI infrastructure.

BrainStationHeadline
OvermindPlatinum

Who attends

Engineers and leaders building the future of cloud native AI.

Leadership

CTOVP EngineeringHead of AIHead of PlatformDirector of Engineering

Senior Engineers

Principal EngineerStaff EngineerSolutions ArchitectCloud ArchitectTechnical Lead

Practitioners

Platform EngineerDevOps EngineerSRECloud EngineerAI EngineerML EngineerData EngineerDevSecOps Engineer

Three Tracks. Three Experiences. One Conference.

Main Track

~100 attendees

Core technical content focused on cloud native AI architectures, Kubernetes + AI workloads, open source tooling, and production systems.

Leadership Track

~20 execs

Curated, smaller environment for CTOs and Heads of AI covering strategy, risk, organisational design, and peer-level discussion.

Workshops

Hands-On

Interactive sessions focused on building AI systems, deploying LLMs, and running AI workloads on cloud native infrastructure.

Themes

Focus areas across all tracks.

Cloud Native & Infrastructure

Kubernetes & AI workloadsCloud native architecturesMulti-cloud AI systemsPlatform engineering for AI

AI & Open Source

Open source LLMsAgentic AI systemsAI infrastructure toolingModel deployment at scale

Production & Operations

Running AI in productionObservability for AI systemsScaling workloadsPerformance & reliability

Governance & Efficiency

Cost optimisation (FinOps)Sustainable AI (GreenOps)Security & complianceResponsible AI systems

Agenda preview

Shared opening, split tracks, rejoin closing

09:00Doors Open & Registration
09:30Opening Keynote (All Attendees)
10:15Tracks Split
10:30Sessions (Main / Leadership / Workshop)
11:15Break
11:35Sessions Continue
12:20Panels / Workshops
13:00Lunch
14:00Tracks Continue
15:30Break
15:50Final Sessions
16:35Closing Keynote (All Attendees)
17:15Networking & Close

Community Stack Ecosystem

The Cloud Native & Open Source AI Conference is part of the Community Stack ecosystem - connecting practitioners across the UK, Europe, and globally.

This conference sits at the intersection of AI, cloud native infrastructure, and platform engineering - forming a core pillar of our global ecosystem.

Communities

17+

Members

25,000+

Events / Year

100+

Global Reach

15+ countries

Partner with the Ecosystem

Our partners don't sponsor events. They embed into the ecosystem, gaining sustained access to the practitioners, leaders, and communities shaping AI, cloud, and platform engineering.

Tier 1

Global Ecosystem Partner

Own the ecosystem. Shape the narrative. Operate at a global scale across all conferences and communities.

Best for: Global platforms, cloud providers

Tier 2

Category Partner

Go deep in one ecosystem. Own the conversation within a specific domain like AI, Cloud Native, or DevOps.

Best for: Category leaders

Tier 3

Event Partner

Plug into a single moment. Build meaningful connections at a specific conference or event.

Best for: Direct engagement

Register

Secure your place at one of London's highest-signal AI infrastructure events.

Submit a Talk

Share real-world experience building cloud native and AI systems.

Sponsor

Reach a curated audience of engineers and AI leaders.