Product Science

Founded 2021

Coordinate distributed hardware to train foundation artificial intelligence models across global compute networks

You can use Product Science to coordinate large-scale artificial intelligence model training across geo-distributed and heterogeneous hardware clusters. Instead of relying exclusively on centralized data centers with scarce chips, the system connects general-purpose graphics processing units and custom application-specific circuits across multiple locations. It manages communication overhead across the public internet, handles node failures automatically, and maintains data sovereignty requirements. Research labs and institutions can train specialized foundation models without depending on a single cloud vendor while keeping training resilient against network disruptions.

What Product Science does

Train machine learning models on geo-distributed GPU clustersConnect heterogeneous compute hardware including GPUs and ASICsMonitor training progress across decentralized compute nodesConfigure data residency rules for distributed workloadsRecover automatically from interrupted or dropped compute nodesValidate model training states across untrusted participantsGeo-distributed compute orchestration across global hardware nodesHardware-agnostic training supporting both GPUs and specialized ASICsInherent fault tolerance designed for unstable or untrusted environmentsConfigurable data sovereignty controls to satisfy regional complianceByzantine-tolerant coordination for secure decentralized trainingOptimized network communication protocols built for the open internet