Is your multi-million dollar HPC cluster constantly waiting on storage I/O? In the world of high-performance computing, every wasted CPU cycle is a delay in critical research and a blow to your budget. The persistent challenge has been a patchwork of specialized, siloed file systems—Lustre for scratch, a scale-out NAS for home directories, and object storage for archives—that create immense management complexity and data copy sprawl. The solution isn’t to rip and replace one silo for another; it’s to create a single, intelligent data plane that unifies all your storage tiers and automates data delivery to your compute cluster. To consolidate all your HPC data and accelerate time-to-result, explore the power of the Hammerspace Data Platform.
The HPC Data Dilemma: A Sprawl of Specialized Silos
Traditional HPC environments are a masterclass in compromise. To meet the extreme performance demands of large-scale parallel jobs, organizations deploy specialized file systems like Lustre or GPFS. While powerful, these systems often lack the enterprise features, simplicity, and standard protocols needed for general-purpose use cases.
This leads to multiple systems and multiple manual data copies that add operational complexity:
- Scratch Space: A high-performance, parallel file system for active computations.
- Project Space: A separate scale-out NAS system for user home directories and persistent project data.
- Archive: An object store or tape library for long-term retention.
This fragmentation creates a constant, manual data-shuffling problem. Researchers waste valuable time copying massive datasets between these tiers, leading to version control issues, immense storage waste from redundant copies, and a high operational burden on IT staff who must manage multiple complex systems.
A New Paradigm: A Unified Data Plane for All HPC Workloads
Hammerspace provides a fundamentally different, data-centric approach. It creates a software-defined unified data plane that sits above your existing and future storage infrastructure, unifying all your data into a single, high-performance parallel file system that delivers high-throughput, low-latency data access.
This is achieved without a disruptive migration. Through Data Assimilation, Hammerspace ingests the metadata from your existing storage systems, making all data visible and accessible in the unified plane while the data itself remains in place.
Once unified, the Hammerspace Data Orchestration engine automates data movement based on declarative, objective-based policies. You can set rules to automatically:
- Pre-stage data from your archive tier to the high-performance scratch tier before a job runs.
- Move completed results from scratch to a project-space NAS.
- Burst compute workloads to the cloud, making on-prem data available to cloud-based GPUs when they need it
Performance Without Proprietary Lock-In
Historically, achieving parallel I/O performance required deploying proprietary file system clients across every compute node, which created complexity and vendor lock-in. Hammerspace eliminates this trade-off by building on open, standards-based protocols.
HPC Performance Meets Enterprise Simplicity
Hammerspace’s standards-based parallel file system architecture leverages the pNFS protocol, which is already part of the Linux kernel, to deliver extreme parallel performance without requiring any special client software. This unique approach combines the raw throughput of traditional HPC file systems with the reliability, ease of use, and standards-based access of enterprise NAS, allowing you to scale performance to feed tens of thousands of GPUs linearly.
To learn how a standards-based architecture can supercharge your HPC workflows, download the free guide: Hyperscale NAS for Dummies.
Bridge On-Prem and Cloud for Unlimited Scale
The future of HPC is hybrid. The ability to leverage the immense scale of public cloud compute resources is a powerful tool for research, but not if it means creating yet another data silo. A unified data plane seamlessly spans your on-prem data centers and cloud environments, giving your applications consistent, high-performance access to data regardless of location.
This eliminates the need for slow, manual data copies to the cloud. Orchestration policies can automatically move only the necessary data to be co-located with cloud compute resources, minimizing expensive egress fees and accelerating cloud-based HPC workflows.
Taming Multi-Silo, Multi-Cloud Complexity
For HPC administrators, managing data across diverse storage types and locations is a significant challenge. Hammerspace provides a single point of control to automate data placement, protection, and tiering across your entire hybrid environment, ensuring data is always in the right place, at the right time, for the correct cost.
Ready to stop shuffling data and start accelerating research? Get the definitive guide on automating your data infrastructure: Unstructured Data Orchestration for Dummies.
Stop Feeding Your Cluster, Start Fueling Your Research
Your HPC resources are too valuable to be left waiting. By unifying your disparate storage systems into a single, intelligent data plane, you can eliminate the bottlenecks that slow down your science. With Hammerspace, you simplify administration, maximize the ROI of your compute investments, and empower your researchers to focus on discovery, not data management.
