Google engine for private testing

[Alexander Hammer]

Dear Challenge Team and fellow participants,

Are there any recommendations as to which settings are advisable for a Google Cloud virtual machine apart from the information on the website (10 vCPUs, 65 GB RAM or 6vCPUs, 65 GB RAM) in order to realistically estimate the computing time?

Best regards,

Alexander

[physionet-challenges]

Dear Alexander,

As you can see on the Challenge current FAQ, we run your training code on Google Cloud using 10 vCPUs, 65 GB RAM, and an optional NVIDIA T4 Tensor Core GPU with 16 GB VRAM and run testing of your trained model on Google Cloud using 6 vCPUs, 39 GB RAM, and an optional NVIDIA T4 Tensor Core GPU with 16 GB VRAM. 
Also 100 GB disk space is allocated for each submission and if GPU is required for a submission, one instance of NVIDIA-TESLA-T4 with NVIDIA Driver Version 418.40.04 is attached and configured. 

We are using an N1 custom machine type. If you would like to use a predefined machine type, then the n1-highmem-8 is the closest but with slightly fewer vCPUs and slightly less RAM.

I hope this information helps.

Best,

Nadi

(On behalf of the Challenge team)

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