software-collection How to Automatically Shut Down Your EC2 Instance When It Is Idle Learn how to automatically stop your EC2 instance after a period of low CPU activity. This guide includes a simple cron-based script, Linux setup instructions, testing steps and an optional GPU-aware version.
ronin-release RONIN Release: Wednesday 24th June 2026 CUSTOM PROJECT TERM, MACHINE MONITORING, MORE OS SUPPORT, GRANULAR PACKAGE SHARING, CUSTOM OLLAMA MODELS, BULK MACHINE TOOLS, GPU SPECS, END DATE PAUSE AND SO MUCH MORE!
release-collection RONIN Release: Tuesday 17th October 2023 RONIN LINK Rebuilt! Support for Ed25519 keys. Lots of other minor features and bug fixes.
instance Selecting the Right Machine Type for the Right Job RONIN and cloud computing represent a different way of thinking. Choosing a machine type means understanding how different selections for CPU, memory, storage, and other characteristics will affect the time to do your work. This blog post will provide some guidelines for choosing wisely.
hpc A Beginner's Glossary for HPC in the Cloud High Performance Computing (HPC) has its own terminology, which is complexified (a real word!) by cloud terminology. Our goal is to simply define these terms to make it easier for users who are not cloud or IT gurus to create and launch clusters using RONIN on AWS....
parallel Parallelising Jobs with GNU Parallel In the cloud, you can easily scale the size of your computing resources to fit your needs, meaning you have the ability to run many commands or scripts in parallel. This is where GNU parallel comes in handy!
netdata Easy and Extensive Resource Monitoring with Netdata When running analyses in the cloud, it's essential that you can monitor your resource usage. Understanding your compute usage is crucial in ensuring your analyses are running as efficiently as possible and making the most of your valuable cloud dollars.
machines Changing / Resizing Machines in RONIN Change the size of your machine with just a few clicks. From a machine with 1 vCPU and 0.5 GiB of RAM to a whopping 128 vCPUs and a 3,904 GiB of RAM
