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Protocols for direct memory access between networked devices to reduce latency.
Distinguishing note: Focuses on hardware-level memory access, distinct from standard socket-based networking.
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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
Utilizes low-latency hardware communication protocols to bypass system kernels and accelerate data transfer.