The case for anti-correlated compute
AI load and industrial load can share one interconnection because they peak in different shifts. Treating that mismatch as infrastructure is the foundation of the AMUN model.
Founded by a developer of industrial and large-scale infrastructure projects.
AMUN Industrial deploys modular AI data centers behind the meter at industrial host sites, running compute on the grid capacity hosts don't use—MW-scale, on existing interconnections.
Founder & CEO
Seth brings more than 15 years of experience in energy, supply chain, and large-scale industrial development. As Chief Development Officer at AppHarvest, he led development of one of the largest controlled-environment agriculture buildouts in U.S. history, representing more than $500 million in capital investment—experience that informs AMUN’s approach to modular AI infrastructure.
AI load and industrial load can share one interconnection because they peak in different shifts. Treating that mismatch as infrastructure is the foundation of the AMUN model.
Communities are weighing the costs of hyperscale campuses. Container-scale deployment on existing industrial sites is a different proposition—existing interconnections, existing sites, no new transmission.
AMUN's founder on developing industrial and large-scale infrastructure projects, why off-shift windows matter, and what qualifies a site.
Mark and lockup files, and the company boilerplate. All artwork reproduces from these masters—the mark is never redrawn.
Stacked lockup · night · Stacked lockup · day
AMUN Industrial deploys modular AI data centers behind the meter at industrial host sites, running compute on the grid capacity hosts don't use—MW-scale, on existing interconnections.