HiSilicon's HiSpark launches XDAS framework, digital FAE beta
Shanghai HiSilicon used an upgrade of its HiSpark developer community to introduce the XDAS four-pillar framework — AI for Development, AI for Application, AI for Support and EXperience for AI — arguing that the developer ecosystem for edge AI needs to be rebuilt around agents. The community has opened a first set of AI Skills spanning five domains, started a 24/7 digital FAE beta, and offers a model/algorithm marketplace plus quantization and compression tools, with an online training platform planned for year-end. Claims such as roughly 76% faster AI-assisted embedded development, over 85% of support questions being repeats, and a 10x download increase as of September 2026 are vendor statements and are not independently verified.
It shows chip vendors competing on edge-AI tooling and developer ecosystems rather than raw compute, though the reported productivity gains remain vendor-supplied.
智东西 作者 | 陈骏达 编辑 | 漠影
过去几年，AI的发展都集中在云端：越来越多的参数，越来越强的模型，越来越费电的算力中心。如今一个更深层的变化正在发生：AI开始明显地从云端向终端设备扩散。机器人、自动驾驶汽车、智慧视觉设备等越来越多的终端正在拥有自己的AI能力。
这一趋势并不难理解，终端是AI抵达真实世界的关键入口：摄像头、麦克风、传感器就长在设备上，物理世界的数据由终端源源不断产生。云端的模型和算力再强，进不了终端，就无法触及真实世界。可以说，AI竞争的下一个战场，就在端侧。
在这个节点上，上海海思给出了一个鲜明的判断：每个IoT终端都值得被重构成轻智能终端，成为AI的泛在入口。通过端侧AI与云端协同，实现小算力大智慧。围绕这个判断，一套从战略到执行的完整架构也随之铺开：一方面，凭借全系列的端侧芯片捕捉端侧AI产业爆发的机会；另一方面，通过HiSpark开发者生态社区，加速构建一套面向端侧AI的新一代开发者生态。