Hi @<1752139552044093440:profile|UptightPenguin12> , in general, you can set up your ClearML configuration and code to use S3, and the SDK will use that directly (it will store cache on the local machine, of course). If you restart your run on a different machine, the code will simply fetch the data from S3 there
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Hi :wave: I am deploying ClearML on an EC2 instance using the EC2 Community AMI. I am confused as to how to configure the server so that it can recover data if the EC2 instance crashes or is terminated; should I host all my data in S3? If so, how do I rea
Hi 👋 I am deploying ClearML on an EC2 instance using the EC2 Community AMI. I am confused as to how to configure the server so that it can recover data if the EC2 instance crashes or is terminated; should I host all my data in S3? If so, how do I reattach that data to a new EC2 instance? Should I mount an EBS volume and save my data there?
Anyone else went through deploying ClearML on EC2 that has any advice? Many thanks 🙏
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