Conference Description
Key Takeaways
- Large-scale summit dedicated exclusively to AI infrastructure, covering data centres, compute, data movement, and physical AI systems
- Designed for technical and business leaders including CTOs, CIOs, Heads of AI, and senior engineers from enterprises, cloud providers, and AI model builders
- Addresses critical challenges around cost optimisation, energy consumption, and scalability in AI deployments
- Features over 400 speakers, 250 partners, and extensive expo halls with product demonstrations
- Takes place September 15–17, 2026, at the Santa Clara Convention Center
Introduction
The AI Infra Summit is a dedicated gathering for professionals working at the foundational layer of artificial intelligence—the infrastructure that makes large-scale AI possible. Scheduled for September 15–17, 2026, at the Santa Clara Convention Center, the event targets technical and business leaders responsible for building, scaling, and operating AI systems. With enterprise AI adoption accelerating across industries, organisations face mounting pressure to manage infrastructure costs, energy demands, and deployment complexity. This summit addresses those operational realities head-on, offering focused content on the technologies and strategies that determine whether AI initiatives succeed at scale.
About This Event
The AI Infra Summit distinguishes itself from broader artificial intelligence conferences by concentrating exclusively on infrastructure rather than applications or algorithms. The event anticipates more than 8,000 attendees, with programming delivered by over 400 speakers representing enterprises, cloud providers, semiconductor manufacturers, and AI research organisations. An expo featuring 250 partners provides opportunities to evaluate emerging technologies and solutions across the AI infrastructure stack.
The format combines main stage keynotes with multiple content tracks, workshops, hackathons, and structured networking sessions. Programming spans technical deep dives suitable for senior engineers alongside strategic discussions aimed at executives responsible for infrastructure investment decisions.
Infrastructure Challenges Driving the Agenda
As AI workloads grow in complexity and scale, infrastructure has emerged as a primary constraint on enterprise adoption. Training and inference for large models demand substantial compute resources, creating cost pressures that can undermine the business case for AI initiatives. Energy consumption presents both financial and sustainability concerns, particularly for organisations operating their own data centres or managing hybrid cloud environments.
The summit’s programming addresses these challenges across what organisers describe as the foundational layers of AI systems: semiconductors and compute hardware, data centre design and operations, networking and data movement, and the integration of AI with physical systems such as robotics and autonomous vehicles. This layered approach reflects the reality that AI performance depends on optimisation at every level of the stack, not merely at the model layer.
Primary Discussion Topics
Content tracks span several interconnected domains. AI data centres sessions examine facility design, cooling technologies, and operational efficiency for high-density compute environments. Compute programming covers processor architectures, accelerator technologies, and the trade-offs between different hardware approaches for training and inference workloads.
Data movement content addresses networking, storage, and the bandwidth challenges that emerge when transferring large datasets and model weights across distributed systems. Physical AI sessions explore the infrastructure requirements for robotics, autonomous vehicles, and other systems where AI models must operate in real-world environments with latency and reliability constraints.
Throughout these tracks, recurring themes include connecting infrastructure investment to measurable enterprise outcomes, improving deployment efficiency, and building systems that can scale sustainably as AI capabilities expand.
Who Should Attend
The summit serves professionals responsible for AI infrastructure decisions across several organisational types. Enterprise attendees from companies such as Airbus, Netflix, and Walmart can evaluate approaches to scaling internal AI capabilities. Representatives from AI model builders including OpenAI and Anthropic engage with the infrastructure providers whose technologies underpin their research and deployment operations.
Cloud and compute providers—including AWS, Google, NVIDIA, and Intel—participate alongside independent software vendors such as Adobe and Databricks. Robotics and autonomous vehicle companies including Tesla and Waymo represent the physical AI segment. Typical attendee roles include CTOs, CIOs, Heads of AI, Directors of Engineering, Cloud Practice Leads, Data Center Managers, and senior engineers working directly on infrastructure systems.
Technology Partners and Exhibitors
The expo floor features companies spanning the AI infrastructure supply chain. Semiconductor and compute partners include AMD, Intel, NVIDIA, Qualcomm, and Ambarella. Data centre and cloud infrastructure is represented by AWS, Oracle, and HCLTech. Networking and data movement specialists include Ayar Labs, Broadcom, Ciena, and Micron. Design and systems companies such as Siemens and Synopsys round out the exhibitor roster, reflecting the breadth of technologies required to build and operate AI infrastructure at scale.