Hammerspace v5.2 extends its AI Anywhere strategy with major performance boosts, enhanced security controls and broader cloud integration, including Oracle Cloud
Hammerspace, the high-performance data platform for AI Anywhere, announced the upcoming release of Hammerspace v5.2, delivering performance, security and ecosystem enhancements that help organizations unify, automate and accelerate their AI and high-performance workloads across any on-premises, hybrid or cloud-based infrastructure.
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With v5.2, Hammerspace raises the bar on standards-based parallel file system performance, particularly for AI and HPC workloads, continuing the trajectory demonstrated in public benchmarks earlier this year.
With v5.2, Hammerspace raises the bar on standards-based parallel file system performance, particularly for AI and HPC workloads, continuing the trajectory demonstrated in public benchmarks earlier this year. The new release achieved a 33.7% higher IO500 overall score than results on the previous version published five months ago, with total bandwidth doubling and individual sub-tests showing dramatic improvements — including an over 800% gain in IOR-Hard-Read.
A key component of these performance improvements is Hammerspace’s continued contribution of significant client-side NFS performance enhancements to the standard Linux kernel, improvements specifically designed to accelerate AI and HPC workloads. By tightly integrating Hammerspace software with these upstream kernel advancements, the Data Platform delivers dramatic performance gains without requiring customers to install proprietary software on application servers or trap their data into vendor-locked silos.
This standards-based approach means Hammerspace is compatible with any storage platform, enabling customers to adapt and deliver the performance and low latency needed for new workloads such as training, inference or RAG with existing infrastructure and data sets. This approach eliminates the cost and complexity of migrating data to net-new storage silos to launch AI projects.
In addition to the baseline performance gains, v5.2 introduces Tier 0 affinitization, adding locality-aware intelligence to Tier 0 deployments. By automatically aligning data placement with the optimal servers within a GPU cluster, Tier 0 affinitization reduces east-west network traffic to accelerate throughput and simplifies Tier 0 deployments by eliminating the need for manual configuration. The feature is automatic, transparent and enabled by default.
To support extreme scale, v5.2 adds Share Referrals, a transparent mechanism that distributes the namespace across as many metadata servers as are needed to accommodate extreme file counts. This enhancement ensures linear scalability, so performance and responsiveness remain steady even as data estates for AI and HPC environments explode.
“AI is fundamentally changing how organizations interact with their data,” said Molly Presley, SVP Global Marketing at Hammerspace. “Workloads that were once separate are now deeply interconnected, and the data platform must keep pace. The v5.2 advancements strengthen our ability to unify and accelerate data for AI, HPC and enterprise environments without requiring customers to rebuild storage silos or redesign their infrastructure. It marks another important step toward enabling truly AI-ready data everywhere.”
The release also strengthens security options with the addition of Kerberos authentication and Labeled NFS support. By enabling SELinux and other Mandatory Access Control (MAC) systems to transport and enforce security labels across NFS, organizations gain consistent, fine-grained control over data access, which is essential for sensitive research, government and regulated industries.
Hammerspace v5.2 will further expand the platform’s reach by adding support for running Hammerspace in Oracle Cloud Infrastructure (OCI). New shapes, including bare metal, will be supported, and support for OCI dedicated Regions will follow, providing a critical option for customers that must maintain strict data sovereignty across distributed environments.
This tight OCI integration extends Hammerspace’s multi-site, multi-cloud and multi-protocol capabilities, including its unique S3-connector technology, so customers can seamlessly bridge on-premises environments to cloud-based GPU-accelerated compute clusters in OCI, AWS and Azure. In this way, NFS-based applications gain native, transparent access to cloud compute resources without workflow changes or moving data into new silos.
This seamless hybrid cloud flexibility is what enables organizations such as Meta to burst extreme-performance AI workloads between on-premises data centers and GPU clusters in OCI, with data movement orchestrated among storage types and locations transparently in the background. At the same time, Hammerspace’s global namespace maintains consistent access for users and applications.
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