iPower Commits $3M to GPU-Backed sUSDai as AI Infrastructure Play

  • iPower launches AI infrastructure strategy, targeting GPU clusters and AI assets with $30M facility
  • Initial $3M investment in sUSDai, a yield-bearing instrument backed by GPU-collateralized loans
  • Strategy focuses on capital provision across AI infrastructure stack with disciplined ROIC approach
  • Company leverages existing $30M December 2025 financing facility for initial deployments

iPower is positioning itself as a dedicated capital provider in the AI infrastructure space, addressing a fundamental supply-demand imbalance for GPU capacity. The strategy comes as enterprises face significant delays in building AI capabilities due to capital constraints and deployment challenges. With an initial focus on GPU-collateralized instruments like sUSDai, iPower aims to generate durable long-term value by leveraging its existing financing facility and ecosystem relationships.

Deployment Pace
How quickly iPower scales its AI infrastructure portfolio beyond the initial sUSDai investment
ROIC Realization
Whether disciplined asset selection delivers targeted returns in a competitive AI infrastructure market
Ecosystem Leverage
The effectiveness of iPower's capital markets experience in attracting high-quality AI infrastructure operators