金山云星流全面升级，副总裁刘涛：四大模块能力实现“开箱即用”的AI开发体验

Core Insights - Kingsoft Cloud's intelligent computing platform, StarryFlow, has completed a strategic upgrade from a resource management platform to a one-stop AI training and inference platform [1][3] - The upgraded StarryFlow platform creates a full-loop ecosystem that includes heterogeneous resource scheduling, self-healing for training task failures, support for robotic industry applications, and commercialization of model API services [1][3] Platform Efficiency - The StarryFlow training and inference platform offers complete lifecycle management from model development to inference, featuring four key capabilities: development, training, inference, and data processing [1][3] - By reducing the complexity of multi-module collaboration, the platform enables an "out-of-the-box" AI development experience [1][3] - The self-developed GPU self-healing technology, combined with task observability design, allows for real-time monitoring of hardware health and task progress, automatically triggering fault migration and task rescheduling to minimize computing interruptions and ensure stable long-term training task operations [1][3] Robotic Platform Integration - The StarryFlow robotic platform deeply integrates core processes such as data collection, storage, annotation, model development, training, deployment, and simulation, creating a unified engine for data, models, and simulation tailored to specific scenarios [2][4] - The model API service on the StarryFlow platform provides high availability and easy integration for model invocation and management, covering the entire lifecycle of model usage [2][4] - This service supports high-concurrency inference and multi-model management, enabling users to efficiently access various model resources, thus facilitating the implementation of large model applications [2][4] - Currently, the StarryFlow platform's model ecosystem supports nearly 40 different models, including DeepSeek, Xiaomi MiMo, Qwen3, and Kimi, allowing clients to access multiple models through a one-stop interface while focusing on AI business innovation and value creation [2][4]