金山云高级副总裁刘涛介绍道，在平台效率方面，金山云星流训推平台提供从模型开发、训练到推理的 完整生命周期管理，具备开发、训练、推理和数据处理四大模块能力，通过降低多模块协同复杂度，能 实现"开箱即用"的AI开发体验；作为面向机器人开发与落地的全链路云原生平台，金山云星流机器人平 台深度融合数据采集、存储、标注、模型开发、训练、部署与仿真等核心环节，打造具身场景专属的数 据、模型、仿真一体化引擎；面向大模型应用开发者和企业用户，金山云星流平台模型API服务提供高 可用、易集成的模型调用与管理能力，覆盖模型调用的全生命周期。 艾媒咨询CEO兼首席分析师张毅对《华夏时报》记者表示，金山云进行场景细分的战略意义在于，这是 其从单纯提供通用算力向深度定制行业解决方案的关键战略升级。"通过针对大模型训练、具身智能等 高价值、高增长场景提供精准匹配的解决方案，金山云不仅能有效提升算力资源的利用率和交付效率、 优化成本结构，更能以此增强客户粘性，构筑起差异化的竞争壁垒，从而在激烈的市场竞争中确立长期 优势。" 正是因为不断对业务进行优化，金山云这两年的业绩提升获得助益。财报显示，金山云2025年第三季度 总收入为24.78亿 ...

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]