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Systems that distribute computational tasks across hardware to optimize inference performance.
Distinguishing note: Focuses on parallelization logic, distinct from general distributed inference.
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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
Distributes large computational workloads across multiple devices to improve processing speed.