Deploy HPC Cluster on Amazon Web Services using SyncHPC

High-Performance Computing (HPC) administrators understand the complexities of managing HPC clusters, especially when dealing with multiple cloud platforms like Amazon Web Services (AWS). However, SyncHPC is changing the game by offering administrators exceptional control and ease of use. In this blog post, we will dive into SyncHPC’s HPC deployment functionality on AWS and how it streamlines the process for administrators.

Deploying with ease

SyncHPC has made deploying HPC clusters on AWS a breeze. Here’s a step-by-step guide to get started:

  1. Log in to SyncHPC: Access the SyncHPC platform using your administrator credentials.
  2. Navigate to Deployment: From the main navigation panel, locate and click on the “Deployment” tab.
  3. Create a New Deployment: Within the “Deployment” section, find the “+ New Deployment” option and click on it.
  4. Select Deployment Type: Choose “Amazon Web Services” as your desired deployment type from the dropdown menu.

AWS Cloud HPC Deployment Form

Once you select AWS, you’ll be presented with a form tailored specifically for HPC Deployment on AWS. This form will prompt you to enter all the necessary inputs, including deployment names, hardware specifications, software configurations, and network settings.

Once you’ve filled out the required information, simply click the “Submit” button to initiate the deployment creation process.

HPC Deployment Progress:

As soon as you submit the form, the HPC deployment process begins. You can monitor the progress directly within the SyncHPC platform. Typically, the deployment takes only 10-15 minutes to complete. After deployment, users can start submitting their jobs.

Auto-Scaling for Efficiency:

SyncHPC’s AWS Cloud HPC clusters are auto-scalable. This means that only the necessary compute nodes/machines are created based on the number of CPUs or memory size required for jobs. This dynamic resource allocation ensures optimal performance and cost-efficiency.

Access AWS Object Storage for Input/Output of HPC Jobs

SyncHPC not only simplifies HPC cluster deployment but also offers streamlined storage management. It provides 2-tier storage management:

  1. Workstore: This is for runtime high-performance storage, akin to a file share.
  2. SyncStore: SyncHPC uses Object Storage as SyncStore, supporting object storage from major cloud providers like AWS.

AWS Object Storage Integration:

SyncHPC seamlessly integrates with AWS Object Storage (Buckets). This integration allows users to effortlessly connect, access, and manipulate AWS Cloud storage. It significantly enhances workflow, simplifies data management, streamlines data synchronization, and improves data integrity.

Empowering HPC Administrators:

SyncHPC empowers administrators with full ownership of AWS Cloud HPC clusters. It simplifies deployment procedures, syncs with AWS cloud storage, and enables the addition of extra nodes. This level of control allows administrators to shape their computing landscapes according to their vision.

Benefits of Object Storage:

Using Object Storage for the input and output of HPC jobs brings several advantages:

  1. Cost Efficiency: Object Storage is significantly more cost-effective compared to traditional file storage.
  2. Data Management: It simplifies actions like upload, download, snapshots, replication, and more.

With SyncHPC, deploying and managing HPC clusters on AWS has never been easier. It offers a user-friendly interface, auto-scaling for efficiency, and seamless integration with AWS Object Storage. By putting the power in the hands of administrators, SyncHPC ushers in a new era of control and ownership in Hybrid HPC and VDI.

You can also refer blogs on other Cloud Service Providers (CSP) and On-Premises HPC Infrastructure using SyncHPC.

Also, you can refer to the blog post for Azure here and Oracle Cloud here.

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