WHAT TO EXPECT

The AI Data Center Track explores the physical infrastructure underpinning AI, from data center design, development, and operations through to power, cooling, and long-term infrastructure planning.

Set within the broader context of the AI stack, the track examines how advances in IT infrastructure are reshaping the physical requirements of modern data centers.

Designed for data center operators, hyperscaler and enterprise DC teams, utilities, power and cooling providers, EPCs, investors, and the wider ecosystem responsible for building and supporting AI infrastructure at scale.

AI Data Center Speakers

Who Attends?

How Will You Benefit?

CONNECT THE DOTS

Connect the dots between IT and physical infrastructure. See how your peers align compute, networking, and facility design decisions, so you can optimize your DC infrastructure for latency, availability, and energy economics.

MEET END-USERS

Meet end users for once! More hyperscaler, neocloud, and enterprise end users attend AI Infra Summit than any other major DC conference. Hyperscalers build big booths and send teams in the hundreds, while 35% of our audience are enterprise AI teams who drive IT infrastructure decisions… we’ve spent 9 years building this community.

DC OPERATOR INSIGHT

Get firsthand DC operator insight into how operators are tackling megawatt-scale density, new cooling methodologies, and grid integration challenges. From liquid cooling deployments to on-site generation and energy reuse, learn what “AI-ready” really means for mission-critical infrastructure.

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FAQs

Most data center events focus on facilities in isolation. This track positions data centers within the full AI infrastructure stack, connecting power, cooling, construction, and operations directly to AI workloads and hyperscaler demand. It brings together operators, utilities, financiers, and engineering partners to address shared constraints, not siloed topics.  

The content is practical and delivery-focused, built for those designing, building, and operating AI data centers at scale. Sessions move beyond theory into real-world challenges like power and grid constraints, capacity planning, procurement strategy, and bringing facilities online faster. Speakers are actively delivering multi-billion-dollar projects, so the focus is on what works in practice, not just concepts. 

You’ll leave with a clearer view of how leading operators are tackling power constraints, speeding up delivery, and scaling AI-ready capacity, alongside a deeper understanding of how different stakeholders actually interact in practice, where friction occurs, and what’s changing in those dynamics.

Key challenges addressed include: 

  • Securing power in constrained grid environments and evaluating onsite alternatives  

  • Reducing delays across data center delivery, from permitting through to construction and commissioning  

  • Aligning capacity planning with fast-changing AI demand and infrastructure requirements  

  • Designing and operating facilities for high-density AI workloads, including cooling and performance challenges