San Francisco AI Engineering & Infrastructure Summit 2026
Shape the future of AI and join industry leaders for the first-ever San Francisco AI Engineering and Infrastructure Summit 2026 and gain insights of the future of scalable AI systems and high-performance infrastructure.
Check out last year's event
Join us for the first edition of the AI Engineering and Infrastructure Summit in San Francisco.
This summit brings together AI engineers, data scientists, and technology leaders to explore scalable AI systems and high-performance infrastructure.
Discover best practices for deploying AI models at scale, optimizing data pipelines for machine learning workloads, and implementing continuous integration and deployment. Dive into Edge AI, discuss ethics in AI engineering, and explore whether cloud or on-prem solutions are best for AI development. Participate in interactive sessions, real-world case studies, and panel discussions to stay ahead of emerging trends in AI engineering.
Key Themes:
- Building Scalable AI Systems
- Leveraging AI Modernization to Transform Applications and Systems
- High-Performance AI Infrastructure
- Deploying AI Models at Scale
- Optimizing Data Pipelines for ML Workloads
- Implementing Continuous Integration and Deployment
- Edge AI
- Ethics in AI Engineering
- Cloud vs. On-Prem: What Is Best for AI Development
Speakers & Full Agenda Announced Soon!
Our speaker lineup will be released in August 2026.
Register now to secure your spot and receive updates when the full program launches.
Our Speakers
Agenda
An exploration of the complexities involved in engineering scalable AI systems, including data pipelines, model deployment, and real-time processing.
Discussing the latest advancements in hardware and cloud infrastructure that enable high-performance AI computations.
An interactive session where attendees collaborate to deploy a machine learning model using containerization and orchestration tools, focusing on scalability and reliability.
A case study on designing efficient data pipelines to handle large-scale data ingestion, processing, and storage for AI applications.
Practical insights into integrating CI/CD practices tailored for machine learning models to maintain performance and accuracy in production environments.
Exploring the opportunities and challenges of deploying AI models on edge devices for low-latency and offline capabilities.
Delegates will chose from a list of pertinent peer-to-peer discussion topics focussing on evolving and emerging trends, techniques and technologies
Insights into incorporating ethical considerations into AI engineering practices, including bias mitigation, transparency, and accountability.
A lively debate on whether cloud-based or on-premises infrastructure offers the optimal environment for AI development and deployment.
Past Speaker Highlights
Who Attends?
Head of AI
Head of ML
Head of AI Engineering
Head of Cloud
Head of Data
Head of Infrastructure
Chief Technology Officer
Chief Data Officer
Head of Digital Transformation
Head of DevOps
Application Development Director
Software Architect
Cloud Architecture Manager
Site Reliability Engineering Manager
Head of Platform
Event Feedback
Our event sponsors
Past Sponsors
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Event Location
Hyatt Regency San Francisco
Frequently Asked Questions
Get In Touch
Contact our event team for any enquiry
Danny Perry
For sponsorship opportunities.
Lili Munar
For guest and attendee enquiries.
Ben Turner
For speaking opportunities & content enquiries.
Taylor Stanyon
For event-related enquiries.