Yotta_Orbit_Blog_post

The first two editions of Yotta set a high bar for conference programming. For 2026, we’re relishing the challenge of pushing it higher again — for what is now the fastest-growing event on the industry calendar.

Our founding remit has not changed: to explore the full digital infrastructure ecosystem and the intersection of compute, networks, data centers, and energy — not as silos, but as a connected system. The goal has always been to bring the industry’s “tribes” together at a moment when AI is exerting powerful new forces across every layer of infrastructure. This framing was captured in the jet engine hypothesis that launched the Yotta platform back in 2024.

If digital infrastructure is a solar system, AI compute sits at the center, with the supporting disciplines orbiting around it. Those orbits are constantly shifting, and their relative importance is changing in real time. Our north star is to curate a program that helps the industry understand these gravitational forces — and what they mean for how infrastructure is designed, financed, and deployed.

Research at warp speed

At the rate of change we’re seeing, it's difficult to say exactly where we’ll be in the warp speed journey through this new infrastructure galaxy come September. Right now we’re deep in the research phase and leaning on our advisory board for ideas on where to take this year’s program.

We’re iterating on existing themes and exploring new ones. Here are some early areas of interest:

Dylan Interview
Yotta Founder, George Rockett interviews Dylan Patel from SemiAnalysis at Yotta 202

1/ The Future of Compute

The compute conversation is still dominated by high-performance silicon and GPUs driving frontier model training. But the shift toward inference will retool the entire compute stack. Heterogeneous architectures will become the norm as Moore’s Law continues to weaken and performance gains increasingly come from workload-specific specialization. We’ll explore what this means for system design, supply chains, and capital allocation.

2/ Data Center Densification

Last year we unpacked the 1megawatt rack as engineers began to grapple with its implications for data-center design. Only last week Jensen Huang announced at CES that NVIDIA’s Vera Rubin is now in production — delivering twice the performance with full liquid cooling at 45°C. At the same show, AMD CEO Lisa Su highlighted the MI500 roadmap targeting a 1,000× increase in AI performance. Beyond cooling alone, extreme power density, new approaches to superconductivity, and the literal rewiring of facilities will drive a fundamental rethink of how data centers are engineered and operated.

3/ Energy Transformation

The energy system is no longer in transition — it is in expansion. What was once a supply-chain issue has become a structural capacity shortfall, with AI firmly at the center of demand growth. In 2025 we dedicated major programming to separating hype from reality in AI energy requirements. In 2026 we’ll go deeper: demand-side flexibility, grid-interactive data centers, industrial policy, cleantech, innovation bottlenecks, and the scale of coordination now required across public and private capital.

4/ Investing in Infrastructure

Whether you reference McKinsey’s estimate of $7.6 trillion in AI infrastructure investment or Moody’s projection of $3 trillion in data-center spend over the next five years, this capital deployment is reshaping the global economy. The shift from simple real-estate models toward deeply interconnected compute-energy ecosystems is catalyzing a new industrial cycle and has already driven a significant share of recent GDP growth. We’ll curate discussions spanning sovereign wealth funds, asset managers, banks, private equity, venture capital, and the operators seeking the financial structures that enable growth. By September we'll know more about the AI supercycle.

5/ Enterprise AI Capacity

What is the AI capacity roadmap for the enterprise? As AI moves into production across healthcare, life sciences, financial services, manufacturing, and other data-intensive sectors, what infrastructure will this new data gravity demand — and what will the economics of securing capacity look like? Will “rent versus build” trigger a renaissance in on-premise infrastructure, or will it be the neocloud or public cloud platforms that come to dominate enterprise workloads? There will be lots to unpack.

6/ Fabrication & Supply Chain

To keep up with the insane demand for AI compute we need more data centers and AI factories. The resource intensity is huge, catapulting the industry to the center of a new national security paradigm. Over and above the supply chain challenges and innovation bottlenecks we looked at in 2025, much of this infrastructure is still built using legacy methods. As physical AI and robotics begin to transform manufacturing, we’ll explore how automation, modularity, and advanced fabrication could unlock a step-change in infrastructure delivery through 2030.

7/ Policy & Community

Even as the U.S. government prioritizes winning the AI race, data centers and their energy demands have become the public lightning rod for the AI boom. Last year, more than $65 billion in projects were cancelled amid growing community resistance. Since then, opposition has hardened, and calls for a national moratorium have entered mainstream political debate. At Yotta 2026, we’ll examine how planning and regulatory frameworks must adapt — and how hyperscalers and neoclouds are rethinking development models to secure social license as well as grid capacity.

8/ The AI Driven Network

AI is transforming the network from a passive transport layer into a performance engine. As training scales and inference proliferates, interconnection fabric now dictates efficiency, latency, and cost per token. Networks must handle massive east-west traffic, tighter accelerator coupling, and predictable low-latency behavior across distributed environments — making networking as strategic as compute and power. We’ll explore how network technology and investment will shape the geographic distribution of data centers, from giga-campuses to inference facilities at the metro edge.

The final network frontier: We closed last year’s conference with a panel on space-based data centers — and the idea has accelerated rapidly since. Jeff Bezos, Eric Schmidt, and Sam Altman have all referenced space infrastructure on a ten-year horizon. Google’s Project Suncatcher continues to mature, and Yotta 2025 panelist Philip Johnston (CEO of Starcloud) recently sent some H100 GPUs into orbit. We may well return to the final frontier at Yotta 2026.


It’s an ambitious agenda — but we have three days to unfold it across eight content tracks, four mini-summits, three expo stages, and the Yotta Mainstage, featuring interviews with ten CEOs shaping the future of AI infrastructure.

World-class content, hundreds of exhibitors, and unmatched access to 6,000 senior decision-makers make Yotta the definitive digital infrastructure event of 2026.