IndeXr Launches Energy-Efficient AI-as-a-Service Private Cloud With 5X Performance Per Watt

IndeXr, a subsidiary of Moon Equity Holdings Corp., has launched an AI-as-a-Service private cloud offering that promises to dramatically reduce energy consumption while maintaining high performance for artificial intelligence workloads. The service, powered by SoftIron HyperCloud technology, addresses growing concerns about the massive energy requirements of AI infrastructure while providing organizations with greater control over their data and computing resources.

The new offering comes at a critical time when energy consumption by data centers running AI models has become a significant environmental and operational concern. According to company data, the IndeXr + SoftIron stack consumes up to 80% less power than comparable systems while delivering an average of 5x more performance per watt. This efficiency breakthrough could have substantial implications for organizations struggling with the power, cooling, and space requirements of traditional AI infrastructure.

Steve Marshall, CEO of Moon Equity Holdings, emphasized the importance of energy efficiency as a foundational principle. "We are directly addressing the obvious elephant in the room with AI. Energy efficiency must be the starting point," Marshall stated. "By pairing IndeXr's services with SoftIron's purpose-built private cloud, we're giving customers a faster, cleaner way to stand up AI with less waste and complete control over where data lives."

The service is available through IndeXr's Master Reseller partnership with SoftIron, allowing the company to white-label the solution for enterprises, government agencies, service providers, and public-sector customers. This flexibility enables organizations to deploy the technology under their own branding while benefiting from the underlying energy efficiency advantages. More information about the AIaaS offering is available at https://indexr.ai/aiaas.

Practical deployment advantages include faster implementation times, with systems often operational within days rather than weeks or months. The infrastructure requires significantly less physical space, with initial deployments typically occupying less than half a standard rack. This reduced footprint, combined with lower power and cooling requirements, makes the solution particularly attractive for organizations with limited data center capacity or those operating in energy-constrained environments.

The program supports on-premises deployments with full chain-of-custody assurance, including U.S. manufacturing provenance, which may appeal to government and security-conscious enterprise customers. Fixed-price packages are designed to minimize integration risk and provide predictable cost structures for organizations planning AI infrastructure investments.

For channel partners and managed service providers, the white-label capability creates opportunities to offer private AI cloud services without developing the underlying technology stack. This approach could accelerate adoption of energy-efficient AI infrastructure across multiple industries and sectors. Additional details about the company's announcements can be found at https://indexr.ai/press-releases/.

The timing of this launch coincides with increasing regulatory and environmental pressure on technology companies to reduce their carbon footprints. As AI workloads continue to grow exponentially, solutions that can deliver comparable performance with substantially reduced energy consumption could become increasingly valuable across multiple sectors, from enterprise computing to government applications and beyond.