![]() Currently this contains two main areas of functionality: The AMI now ships with a package called RStudioAMI preloaded. To make shiny apps visible, they should be placed in a folder named ShinyApps in the user’s home directory. Likewise, publicly visible Shiny apps can be accessed at /shiny/username (e.g. Advanced users should also note that the rstudio user can use sudo. However, users who are comfortable with Linux can follow the usual procedure for changing system user passwords via SSH or the Terminal tab within the RStudio interface if they prefer. It is highly recommended you change the password immediately and an easy means of doing this is explained upon login in the script that is loaded there. You will then be in and able to use R straight away. The default password is no longer rstudio, but rather is set to the instance ID of the instance you have launched for greater security (thanks to Colin Gillespie for security report) Julia remains temporarily removed due to global package difficulties.Elastic Network Adapter support allowing launching newest instance types, including new Intel Xeon Platinum CPUs with AVX-512 support. ![]() CUDA 10.1 and cuDNN 7.6.5 enabling easy use of GPU instances with Tensorflow/Keras.Current AMI Quick Reference (17th Aug 2020)Ĭlick to launch through AWS web interface:
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