File and Object Storage

Access data in or from AZURE with IBM Spectrum Scale hybrid cloud AI architercture

By David Wohlford posted 11 days ago

  
Mark as Inappropriate
Microsoft Azure is a public cloud option for many organization.  With solutions including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) that can be used for services such as analytics, virtual computing, storage, networking, among some of the examples.  Getting high performance data access and accessing data from the edge or the data center has been an issue for customers trying to leverage Azure.  Problem SOLVED!  Now Create an unmatched cloud data experience in Azure with Sycomp Storage Fueled by IBM Spectrum Scale.



Together with Microsoft’s virtual machines and tiered managed disk platform, Sycomp Storage fueled by IBM Spectrum Scale creates an unmatched storage solution for running HPC, AI/ML workloads with Azure compute. This solution provides a venue for current Azure clients as well as new clients looking to use Azure as a burst platform for these types of workloads.

Now customers can create high performance storage with native file access in the Azure public cloud and create a single pool of data with global access from edge to core data center to the public cloud.

Sycomp Storage Fueled by IBM Spectrum Scale is the answer to your data challenges.  This solution enables organizations to utilize different storage tiers whether they are incorporating on-prem IBM Spectrum Scale or deploying a cloud only solution.  This offering supports NFS, SMB, and the native client.

IBM Spectrum Scale creates an unmatched storage solution for running HPC and AI/ML workloads. Combined with Microsoft’s virtual machines and tiered managed disk platform, this solution provides a venue for new and existing clients looking to use Azure as a burst platform for these modern workloads.

Do you have SAS Grid?
A new shared file system for SAS Grid on MS Azure



Learn more about IBM Spectrum Scale running in Azure










0 comments
218 views

Permalink