d.run AI Operating System¶
d.run leverages the world's top-three Kubernetes scheduling technology and core contributions to mainstream open-source inference engines such as vLLM to uniformly manage diverse heterogeneous computing power. It enables granular scheduling, full-stack inference optimization, and end-to-end token governance, achieving a compute utilization rate of over 80% and efficiently transforming computing power into manageable, controllable token-based AI productivity. The platform aggregates the global mainstream large model ecosystem, equipped with a visual operations cockpit and the d.run Copilot intelligent assistant, delivering stable and efficient AI services to all departments of the enterprise and comprehensively supporting long-term business intelligence upgrades.
As an AI operating system designed for enterprises, d.run integrates compute scheduling, large model inference, and operations governance into a unified platform. The platform uniformly manages NVIDIA and domestic heterogeneous computing power, relying on granular scheduling and full-stack inference optimization to transform distributed GPU resources into low-cost, highly stable token services. It features a visual operations cockpit that presents real-time data across the entire chain of compute consumption, model invocations, and token production. The built-in d.run Copilot intelligent assistant lowers the barrier for all enterprise departments to adopt AI, driving long-term business intelligence upgrades.