Shi Technology has released TokenFleet, a distributed scheduling framework designed to optimize GPU cluster utilization for AI inference. The framework aims to improve the efficiency of existing computing resources by focusing on request routing, cross-data center capacity coordination, and mixed workload governance. Key technologies include TokenPilot for instance selection based on cache benefits and queuing costs, FleetMind for coordinating capacity across multiple data centers, and SLOMax for managing mixed workloads to ensure service level objectives are met. AI
IMPACT This framework aims to reduce latency and improve the efficiency of AI inference, potentially lowering costs and increasing the throughput of AI services.
RANK_REASON The article describes a new software framework for optimizing AI inference, which is a tool for improving existing infrastructure.
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