{"type":"rich","blog_title":"Vengineer\u306e\u5984\u60f3","provider_url":"https://hatena.blog","height":"190","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fvengineer.hatenablog.com%2Fentry%2F71837383\" title=\"AWS Neo-AI\u3063\u3066\u3069\u3093\u306a\u611f\u3058\uff1f - Vengineer\u306e\u5984\u60f3\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","title":"AWS Neo-AI\u3063\u3066\u3069\u3093\u306a\u611f\u3058\uff1f","author_name":"Vengineer","image_url":null,"author_url":"https://blog.hatena.ne.jp/Vengineer/","version":"1.0","blog_url":"https://vengineer.hatenablog.com/","published":"2019-02-05 04:30:00","categories":["TVM (NNVM/Relay)","#\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2"],"url":"https://vengineer.hatenablog.com/entry/71837383","width":"100%","provider_name":"Hatena Blog","description":"@Vengineer\u306e\u622f\u8a00 : Twitter SystemVerilog\u306e\u4e16\u754c\u3078\u3088\u3046\u3053\u305d\u3001\u3059\u3079\u3066\u306f\u3001SystemC v0.9\u516c\u958b\u304b\u3089\u59cb\u307e\u3063\u305f AWS\u306e\u300cNeo-AI project\u300d\u306e\u5fa9\u7fd2\u3002 Neo-AI\u306f\u3001Re:Invent\u306b\u3066\u3001Amazon SageMaker Neo \u2013 Train Your Machine Learning Models Once, Run Them Anywhere\u3068\u3057\u3066\u767a\u8868\u3057\u305fAmazon SageMaker Neo\u304b\u3089\u3002 AWS ML University \u306e Amazon SageMaker Neo \u306b\u3064\u3044\u3066\u306e\u30b3\u30f3\u30c6\u30f3\u30c4\u3092\u8a33\u3057\u3066\u307f\u305f\u3082\u53c2\u8003\u306b\u3002 \u30fbFramewo\u2026"}