At Panasas^®, we deliver software-defined solutions built around our core PanFS^® parallel file system that make it easy for you to store, protect, and move data at scale for your HPC and AI applications. Here are ten ways we elevate your data storage and management experience.

1. Intelligent architecture

PanFS is the industry’s only self-healing, self-managing parallel file system. A fully POSIX-compliant, shared-nothing architecture with built-in automation features delivers optimized performance, easy management, and superior resiliency.

2. A truly simple storage experience

“That’s what everyone says,” right? But unlike competing systems that require a team of storage experts just to manage, our solutions are so simple to operate and maintain that one part-time admin can easily oversee a PanFS environment of any size. Sit back and enjoy automated system monitoring, smart scaling, and no complicated tiering, all delivered on a turnkey solution. To quote one of our customers, “you just set it and forget it.”

3. The gold standard in reliability

Patented per-file object erasure coding ensures per-file fault isolation, safeguard against total loss, and continuous data integrity checks. Unlike with other high-performance storage, as you expand operations, you don’t have to worry about data loss, corruption, or service interruptions – with PanFS, reliability actually increases as you scale.

4. Unmatched uptime

Built-in prevention and automated rapid failure recovery logic prevent common corruption issues to deliver unparalleled uptime. You get continuous background data scrubbing, automatic capacity balancing, snapshots, and quad-replicated directories. It’s no surprise that so many Panasas customers report zero unplanned downtime over the multi-year life of their PanFS realms.

5. Cost-optimized hybrid solutions

When it comes to high-performance storage, a one-size-fits-all strategy doesn’t cut it – all-flash isn’t for all HPC. That’s why we offer shared-nothing, hybrid solutions that efficiently utilize SSDs, standard HDDs, and new multi-actuator HDDs to optimize performance for your specific applications. PanFS brings hyperscaler resilience and scalability to HPC and AI, giving you a smarter technology choice at a lower price point.

6. Workload agility

While other parallel file systems require time-consuming manual tuning as workloads change, PanFS automatically adapts to different IO patterns that other storage systems struggle to support. You get consistently high performance for dynamically changing HPC and AI workloads involving a wide range of file sizes and access patterns.

7. From the cloud to the edge

Our solutions support your workflows across data centers, remote satellite locations, and into the cloud. With the latest release of PanFS now including native front-end S3 protocol integration, you can seamlessly move your AI and HPC workloads developed in the cloud to on-premises data centers for optimal performance management.

8. One platform does it all

PanFS utilizes a single-tier architecture that allows you to read and write project storage directly. This equally-performant read and write streaming is ideal for storage consolidation projects and multipurpose usage. You can host unified scratch, home directories, and project file storage simultaneously on a single platform.

9. Data insights and movement

PanFS includes the PanView™ data analytics and PanMove™ data mobility software suite to unlock the full value of your data and reduce TCO. You get a global view of your data with comprehensive activity insights from a single dashboard along with fast and secure data movement between all your storage locations.

10. Proven innovation and dependability

We have a rich history of innovation dating back to the invention of RAID and being the very first Linux parallel file system. With over two decades of experience helping our customers solve their most complex data challenges at scale, we’re proud to be the trusted partner of choice for data-driven research institutes and enterprises across the globe.

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