Self Service Cloud HPC

LAUNCH YOUR OWN HPC CLOUD COMPLETE WITH SCHEDULER, COMPUTE AND PARALLEL STORAGE BASED ON ORANGEFS, CLOUDYCLUSTER COMES COMPLETE, READY TO COMPUTE WITH A WIDE VARIETY OF POPULAR OPEN HPC SOFTWARE

CloudyCluster

  • Begins with a Management Instance that is launched in your own AWS account.
  • A simple but powerful Web-UI is then used to create a base HPC environment with Scheduler, Login instance and storage that you choose.
  • After the HPC environment is created you can submit Torque(PBS) or Slurm jobs through CCQ, a meta-scheduler that is delivered with CloudyCluster.
  • Once submitted, CCQ inspects the job and instantiates the instances dynamically and once ready releases the job to Torque(PBS) or Slurm to process the job.
  • When all the jobs for that instance type are complete, CCQ tears down the instances before the billing cycle is complete, so you only pay for the runtime you need.
Try Cloudycluster
feature-image

Architecture

CloudyCluster is designed to look and feel similar to standard HPC environments, with login instances, scheduler, scratch storage and with the added capabilities of elastic compute instance creation. A group of researchers from Clemson University achieved a remarkable milestone while studying topic modeling, an important component of machine learning associated with natural language processing, breaking the record for creating the largest high-performance cluster by using more than 1,100,000 vCPUs on Amazon EC2 Spot Instances running in a single AWS region, accessed via CloudyCluster.

Introducing CloudyCluster on Google Cloud Platform

HPC is Now Simplified Cross Cloud

Read More

Facts & Tweets

  • 6503

    CloudyClusters Deployed
  • 5000000

    + People working with HPC Globally
  • 49925

    Instances in Largest CloudyCluster
  • 1119196

    vCPUs in Largest CloudyCluster

Recent Blog Posts

Keep up with CloudyCluster Happenings!!

post-thumb Introducing CloudyCluster on Google Cloud Platform

Many customers have been asking how to seamlessly get HPC jobs to work between clouds and on premise. We are now making this a little more possible by extending CloudyCluster to the Google Cloud Platform. It is avaialble now by request and will be in …

Read More
post-thumb AWS Spot Pricing Jupyter Notebook

CloudyCluster and CCQ enable easy usage of Spot Instances and Spot Fleet for HPC, saving the cost of computation for compatible workloads (short runtime, restartable, etc…) All you have to do is add directives directly to the job script and …

Read More