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This is a high-efficiency AI Token production and management system designed for intelligent computing centers, dedicated to upgrading traditional computing centers into efficient, profitable Token factories. The platform unifiedly manages NVIDIA and domestic heterogeneous computing power, transforming distributed GPU compute into low-cost, highly stable, and tradable standardized Token services through intelligent scheduling and inference optimization. Built on the Token Factory manager and unified operations system, the platform enables global management of resources, production, costs, and supply-demand, serving end users, administrators, operators, and O&M teams, driving intelligent computing centers to evolve from "providing compute" to "producing and operating Tokens".

Leveraging top-three globally ranked Kubernetes scheduling technology and core contributions to mainstream open-source inference engines like vLLM, d.run unifiedly manages diverse heterogeneous computing power, achieving granular scheduling, full-stack inference optimization, and end-to-end Token governance. With compute utilization exceeding 80%, it efficiently transforms compute into manageable, controllable Token-based AI productivity. The platform aggregates global mainstream large model ecosystems, equipped with a visual operations dashboard and d.run Copilot intelligent assistant, delivering stable and efficient AI services across all enterprise departments, comprehensively supporting long-term business intelligent transformation.

DaoCloud Enterprise (DCE) is a high-performance, scalable cloud native operating system, and a CNCF-certified Kubernetes – AI Platform. It delivers a consistent, stable experience across any infrastructure and environment, supporting heterogeneous clouds, edge clouds, and multicloud orchestration.