随時学習が走っている環境を、計算資源の効率がよく、コスト低めに作る方法

MLOps

arrowKato のブックマーク 2020/05/28 21:22

<blockquote class="hatena-bookmark-comment"><a class="comment-info" href="https://b.hatena.ne.jp/entry/4686344443660871330/comment/arrowKato" data-user-id="arrowKato" data-entry-url="https://b.hatena.ne.jp/entry/s/speakerdeck.com/keigohtr/cost-efficient-and-scalable-ml-experiments-in-aws-with-spot-instances-kubernetes-and-horovod-falseshao-jie-togan-xiang" data-original-href="https://speakerdeck.com/keigohtr/cost-efficient-and-scalable-ml-experiments-in-aws-with-spot-instances-kubernetes-and-horovod-falseshao-jie-togan-xiang" data-entry-favicon="https://cdn-ak2.favicon.st-hatena.com/64?url=https%3A%2F%2Fspeakerdeck.com%2Fkeigohtr%2Fcost-efficient-and-scalable-ml-experiments-in-aws-with-spot-instances-kubernetes-and-horovod-falseshao-jie-togan-xiang" data-user-icon="/users/arrowKato/profile.png">“Cost-efficient and scalable ML-experiments in AWS with spot-instances, Kubernetes and Horovod” の紹介と感想</a><ul class="comment-tag" style="list-style: none; margin: 0px;"><li style="float: left">[<a href="https://b.hatena.ne.jp/q/MLOps">MLOps</a>]</li></ul><br><p style="clear: left">随時学習が走っている環境を、計算資源の効率がよく、コスト低めに作る方法</p><a class="datetime" href="https://b.hatena.ne.jp/arrowKato/20200528#bookmark-4686344443660871330"><span class="datetime-body">2020/05/28 21:22</span></a></blockquote><script src="https://b.st-hatena.com/js/comment-widget.js" charset="utf-8" async></script>

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