[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"news-54b3961a-17a4-4bcf-af68-e4c873eeb8ca":3},{"id":4,"title":5,"summary":6,"original_url":7,"source_id":8,"tags":9,"published_at":23,"created_at":24,"modified_at":25,"is_published":26,"publish_type":27,"image_url":13,"view_count":28},"54b3961a-17a4-4bcf-af68-e4c873eeb8ca","华为云 ModelArts Next：从训练平台走向「智能体原生」的训推底座","在 6 月 5 日开幕的华为云 INSPIRE 2026 创想者大会上，华为云正式发布新一代模型训推平台 ModelArts Next，把「RL 服务、机密推理、模型路由、模型矩阵」作为四大核心能力一次性打包亮相。从命名就可以看出华为云对 Agent 时代的判断：模型不再是单点工具，而是企业 AI 智能体体系的「中枢」。\n\n四大能力中，最具差异化的是 **RLaaS（RL-as-a-Service）** 和 **MaaS 模型路由**。前者把强化学习从大厂实验室能力下沉成可调用的云服务，配合可视化轨迹与训练一致性保障，让车企、金融等强决策场景也能跑得起 RL 微调；后者则依据请求特征动态挑选最优模型，目前已聚合 DeepSeek、Kimi、GLM 等 15+ 款 SOTA 模型，**调度精准率超过 95%，调用成本平均下降 20%**。对 Agent 业务方来说，这意味着不必再为每条 prompt 人工选模型，云侧帮你在性能与成本之间做实时 trade-off。\n\n「**机密推理**」则是面向政企客户的硬通货。模型权重和推理数据全程在可信执行环境中运转，硬件级隔离 + 模型防泄漏机制，把私有化部署的合规门槛降到了「一键」。结合华为自研的 Pangu 行业大模型与 DeepSeek、Kimi、GLM 的 Day-0 接入，企业可以在保留自身数据主权的前提下，调用前沿开源\u002F闭源 SOTA 模型做端到端 Agent 编排。\n\n落地的成绩单同样亮眼：基于 ModelArts 的交通预测精度提升 9.91%，天气预测准确率达 84%，并已沉淀 20+ 行业细分场景。可以预见，当大模型竞争从「拼参数」走向「拼工程化能力」，云厂商的价值锚点正在从「卖 Token」转向「卖训推编排与场景编排」——而 ModelArts Next 显然在押注后者。\n\n**一句话总结：Agent 时代的云战争，已经打到了「训推底座」的层级。**","https:\u002F\u002Fwww.huaweicloud.com\u002Fabout\u002Finspire.html","2a222783-7ba6-412b-9394-951bd06357a4",[10,14,17,20],{"id":11,"name":12,"slug":12,"description":13,"color":13},"6ad31a14-c0da-42df-81fd-564281f768db","agentic-ai",null,{"id":15,"name":16,"slug":16,"description":13,"color":13},"40269b40-7942-4650-9672-ed2e6524d37a","ai-technology",{"id":18,"name":19,"slug":19,"description":13,"color":13},"0a93ec8e-ea39-4693-81de-563ca8c173f7","inference",{"id":21,"name":22,"slug":22,"description":13,"color":13},"01598627-1ea6-4b27-a5d8-874971571a71","llm","2026-06-05T07:00:00Z","2026-06-05T07:08:58.150471Z","2026-06-05T07:08:58.150482Z",true,"agent",2]