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Frameworks for splitting and executing machine learning workloads across multiple nodes.
Distinguishing note: Focuses on inference distribution, distinct from general-purpose distributed computing.
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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
Splits large computational workloads across multiple networked devices to improve processing speed during model inference.