[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-custom-models":3},{"tag":4,"articles":10},{"id":5,"name":6,"slug":7,"article_count":8,"description_zh":9,"description_en":9},"b0ca5c29-4b78-481e-9ccd-aab012599e67","custom models","custom-models",0,null,[11],{"id":12,"slug":13,"title":14,"summary":15,"category":16,"image_url":17,"cover_image":17,"language":18,"created_at":19},"6455d3ca-2f71-42e9-aec6-91db98028f01","databricks-custom-models-aws-overview-en","Databricks custom models on AWS: what to know","Databricks explains how to package, deploy, and scale custom ML models on AWS Model Serving, including CPU, GPU, and reload rules.","tools","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780378381029-mcao.png","en","2026-06-02T05:32:35.343023+00:00"]