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Architectures designed to scale artificial intelligence workloads across networked hardware.
Distinguishing note: Focuses on the overall distributed AI architecture, distinct from specific inference engines.
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Exo is a distributed inference engine designed to run machine learning models across local hardware. It functions as a network orchestration layer that automatically discovers available devices to form a unified computing cluster, allowing users to scale artificial intelligence workloads by distributing computational tasks across multiple machines. The platform distinguishes itself through its ability to manage the entire lifecycle of local models while providing a standardized gateway for external applications. By translating local model outputs into industry-standard formats, it enables exi
Scales artificial intelligence workloads by spreading computational tasks across multiple networked devices.