Fanshi Intelligence Tops IDC China AI Computing Resource Management Platform Assessment
IDC published its 2026 China AI Computing Resource Management Platform Technical Capability Assessment on September 21, 2026, evaluating major providers in the country's AI computing resource management platform market to help enterprises make platform selection decisions.
The assessment covered six dimensions: computing resource management, computing service management, computing operation and maintenance, technical architecture, business scenario support, and delivery services. Fanshi Intelligence received full scores in four dimensions—computing resource management, computing operation and maintenance, technical architecture, and delivery services—and ranked first overall.
According to IDC, AI infrastructure is evolving from basic computing platforms into core IT infrastructure for enterprise digital transformation, as agent technologies and applications reshape cloud infrastructure paradigms.
Fanshi Intelligence provides a vendor-neutral unified management platform that supports training and inference across different chip brands, with compatibility for more than ten chips including Ascend, Hygon DCU, Cambricon, and others. Its core capabilities include zero-intrusion multi-core virtualization, three-track resource pools with four-dimensional scheduling, an AI gateway with dual-track metering, agent-oriented computing service delivery, and heterogeneous computing operations. The zero-intrusion virtualization technology can partition a single AI accelerator for multiple tasks and support mainstream frameworks such as PyTorch, TensorFlow, vLLM, and SGLang without requiring business code changes.
Fanshi founder and CEO Dai Wenyuan said the AI industry is moving from a "model race" to a stage of large-scale deployment, where enterprises need to convert agent capabilities into business productivity with controlled costs and stable operation.
The report also cited a policy bank that used Fanshi's three-track resource pool architecture to unify computing management across two sites and three centers, improving resource utilization efficiency.
