IndeXr Launches Energy-Efficient AI-as-a-Service Private Cloud With 5X Performance Per Watt
TL;DR
IndeXr's AIaaS private cloud offers organizations a competitive edge with 5x more performance per watt, reducing operational costs and environmental footprint.
IndeXr's AIaaS combines SoftIron HyperCloud hardware-software co-design to deploy private AI clouds in days using up to 80% less power than comparable systems.
This energy-efficient AI solution reduces environmental impact by cutting power consumption and waste while maintaining data sovereignty for better digital infrastructure.
IndeXr's private AI cloud can fit initial deployments in less than half a rack while drawing up to 80% less power than traditional systems.
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 service combines rapid deployment with exceptional energy efficiency to help organizations run modern AI workloads while significantly reducing 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 cloud simplicity with enterprise control.
The IndeXr + SoftIron stack emphasizes efficient hardware-software co-design, with SoftIron reporting that HyperCloud nodes consume significantly less power and require less cooling than cloud-washed alternatives. Field deployments have demonstrated up to 80% less power consumption compared to comparable systems, with customers documenting material improvements in energy efficiency while shrinking rack footprints. This energy efficiency breakthrough comes at a critical time when AI infrastructure demands are placing unprecedented strain on power grids and data center resources worldwide.
Steve Marshall, CEO of Moon Equity Holdings, emphasized the importance of energy efficiency as a starting point for AI infrastructure. The partnership delivers an average of 5x more performance per watt compared to traditional systems, providing customers with a faster, cleaner way to stand up AI workloads while maintaining complete control over data location and sovereignty. This approach addresses growing concerns about AI's environmental impact and operational costs.
The service supports on-premises builds with full chain-of-custody, including U.S. manufacturing provenance, and can be delivered 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. The program's channel-friendly packaging supports governments, enterprises, MSPs, and public institutions seeking low-touch paths to private AI clouds with predictable energy and operating profiles.
Available through https://indexr.ai/aiaas, the offering represents a significant shift in how organizations can approach AI infrastructure deployment. By combining rapid implementation with radical energy efficiency, the service enables organizations to accelerate AI adoption while managing operational costs and environmental impact. The technology's reduced heat signature and smaller physical footprint make it particularly suitable for facilities with space or cooling constraints, opening new possibilities for AI deployment in diverse environments.
The launch addresses practical realities of AI at scale, including faster stand-up times, smaller physical footprints, and seamless transition from legacy stacks. As AI workloads continue to grow exponentially, solutions that combine performance with sustainability will become increasingly critical for organizations balancing technological advancement with environmental responsibility and operational efficiency.
Curated from NewMediaWire
