Peer Software introduces new features to PeerGFS for enterprise data orchestration in heterogeneous infrastructure environments

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Integrated multi-protocol support unifies data workflows and active-active synchronisation to accelerate data analysis, reduce infrastructure complexity and streamline operations.

On Wednesday (7th May) at Nutanix .NEXT, Peer Software, an enterprise provider of distributed data management and file synchronisation solutions, announced the latest release of its flagship solution, Peer Global File Service (PeerGFS). New capabilities include:

  • Integrated data automation for multi-vendor storage environments utilising both Server Message Block (SMB) and Network File System (NFS) protocols.
  • Support for Linux file server platforms.
  • Advanced data management and storage optimisation for edge locations.

This latest edition of PeerGFS builds on a heritage of simplifying data interoperability highlighted by multi-protocol replication that powers simultaneous access to the same data volume via both SMB and NFS protocols across multiple storage systems and geographic distances. This is particularly impactful for AI workflows, where data is often ingested at the edge using SMB and processed centrally using Linux-based tools that typically require NFS.

“Multi-protocol support breaks down barriers that have long forced IT teams to create redundant copies of data for different applications or environments,” said Jimmy Tam, CEO, Peer Software.

“Now, whether you’re ingesting data via SMB at the edge or analysing it with AI engines using NFS-based storage in the core or cloud, PeerGFS ensures a single, synchronised and accessible dataset.”

Peer Software customers in sectors such as finance, media and entertainment, healthcare, life sciences, and research are already seeing the benefits. One example: a medical organisation now ingests patient MRI scans at local hospitals on SMB-based storage and seamlessly synchronises that data to centralised NFS-based storage for analysis with AI without the need for redundant volumes or manual data transfers. This reduces wait times for diagnosis and positively impacts patient outcomes.

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