SkyFusionOS turns idle residential machines into a global AI compute network — for distributed inference, federated training, and decentralized ML workloads.
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Traditional AI infrastructure is expensive and centralized. SkyFusionOS flips that — distributing work across millions of residential machines already sitting idle at night.
Run LLM inference across a network of residential GPUs. No single point of failure, no central data center bottleneck.
Train models collaboratively across edge devices — sensitive data never leaves the device. Privacy by architecture.
Idle residential compute costs a fraction of cloud GPU clusters. Pass the savings to ML teams and AI builders.
Your data stays on your device. Federated compute means enterprise-grade privacy without the enterprise-grade price tag.
Compute where your users are — no origin server cross-country latency. Sub-100ms inference for global users.
Host machines earn for contributing compute. SkyFusion tokens align incentives across the entire network.
From startup ML teams to enterprise AI, SkyFusionOS handles production workloads today.
Deploy open-source LLMs (Llama, Mistral, Qwen) across distributed residential nodes. Horizontal scaling built in, latency optimized via edge routing.
Fine-tune models using federated learning — train across multiple devices without centralizing sensitive datasets. Ideal for healthcare, finance, and legal AI.
Power AI features in games, creative tools, and interactive apps. Distributed inference handles burst traffic without cold-start delays of centralized cloud.
Replace expensive GPU clusters with a managed distributed compute layer. SOC 2 ready, HIPAA compatible, with dedicated network capacity.
Join the private alpha waitlist. Early participants get priority access, discounted compute credits, and governance tokens.
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