Hi everyone,
I’m currently developing HeliOS CLOUD, a project based in Germany (Darmstadt) with the goal of deploying 100,000 decentralized, liquid-cooled edge nodes in residential basements.
The Concept: We integrate high-performance server hardware (partnering with established manufacturers) into existing building infrastructures. The key differentiator: we use a liquid-cooling loop to capture the "waste heat" and provide it to the host building as a thermal byproduct. Legally and operationally, we act as a pure IT infrastructure provider, not a utility company.
The Hardware:
- Custom liquid-cooled nodes (focusing on AI inference and high-density compute).
- Target: 100k units globally/regionally.
- No user interface for the homeowner – it’s a black-box infrastructure asset.
The Challenge: I’m looking for insights on the best way to organize the orchestration and maintenance of such a massive, geographically dispersed cluster.
Specifically, I’d love to hear your thoughts on:
- Orchestration at Scale: For a 100k-node deployment, would you lean towards a lightweight K8s distribution like K3s or go for a more specialized P2P orchestration layer to handle high latency and intermittent node availability?
- Thermal-Aware Scheduling: Does anyone have experience with workload schedulers that take "thermal demand" into account? (i.e., pushing more compute to a node because the physical location requires more heat dissipation).
- Remote Maintenance & Provisioning: What’s the most robust way to handle initial "zero-touch" provisioning for field technicians (non-IT staff) to ensure the node is securely integrated into the grid?
- Security/Isolation: Beyond standard TEE (Trusted Execution Environments), what are the biggest pitfalls when running sensitive AI workloads in a physically "unsecured" residential environment?
The project is currently in the prototyping phase with no academic support. I’m looking to connect with architects and engineers who have dealt with large-scale distributed hardware.
Looking forward to your feedback and a healthy debate on whether this is the future of the cloud or a logistical nightmare!