IndeXr Launches Energy-Efficient AI-as-a-Service Private Cloud Platform

IndeXr, a wholly-owned subsidiary of Moon Equity Holdings Corp., has launched its AI-as-a-Service private cloud offering powered by SoftIron HyperCloud technology. The new service combines rapid deployment with exceptional energy efficiency to help organizations run modern AI workloads while cutting power, cooling, and space requirements. As a Master Reseller partner with SoftIron, IndeXr can white-label the solution for enterprises, government agencies, service providers, and public-sector customers seeking turnkey private AI cloud solutions.

The IndeXr + SoftIron stack emphasizes efficient hardware-software co-design specifically for customers needing cloud simplicity with enterprise control. SoftIron reports that HyperCloud nodes consume significantly less power and require less cooling than traditional alternatives, with field deployments showing up to 80% less power consumption compared to comparable systems. Customers have documented material improvements in energy efficiency while simultaneously shrinking rack footprints, addressing critical infrastructure challenges in AI deployment at scale.

Steve Marshall, CEO of Moon Equity Holdings, emphasized the importance of energy efficiency as a starting point for AI infrastructure, stating that the partnership delivers an average of 5x more performance per watt with less waste and complete control over data location. The program supports on-premises builds with full chain-of-custody assurance, including U.S. manufacturing provenance, and can be deployed in days rather than weeks or months. Initial deployments often occupy less than half a rack space, with fixed-price packages designed to minimize integration risk for organizations transitioning from legacy infrastructure stacks.

As SoftIron's Master Reseller, IndeXr can deliver HyperCloud as either branded or white-label service, including turnkey design, deployment, and managed operations. The channel-friendly packaging supports governments, enterprises, managed service providers, and public institutions seeking low-touch paths to private AI clouds with predictable energy and operating profiles. The solution specifically addresses the practical realities of AI at scale, offering faster stand-up times, smaller physical footprints, and seamless transition capabilities from existing infrastructure while maintaining data sovereignty and control. More information about the AIaaS offering is available at https://indexr.ai/aiaas while press releases can be found at https://indexr.ai/press-releases/.