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Explosions of data, transactions, and digitally-aware devices are straining IT infrastructure and operations, while storage costs and user expectations are increasing. The IBM General Parallel File System™ (GPFS™), high-performance enterprise file management, can help you move beyond simply adding storage to optimizing data management.
High-performance enterprise file management using GPFS gives your business:
- Seamless capacity expansion to handle the explosive growth of digital information and improve efficiency through enterprise wide, interdepartmental information sharing
- High reliability/availability to eliminate production outages and provide disruption-free maintenance and capacity upgrades
- Performance to satisfy the most demanding applications
- Policy-driven automation to ease information life cycle management
- Extensible management and monitoring infrastructure to simplify file system administration
- Cost-effective disaster recovery and business continuity
IBM General Parallel File System™ (GPFS™) currently powers many of the world's largest scientific supercomputers and commercial applications requiring high-speed access to large volumes of data such as:
- Digital media
- Engineering design
- Business intelligence
- Financial Analytics
- Seismic data processing
- Geographic information systems
- Scalable file serving
GPFS provides online storage management, scalable access, and integrated information lifecycle management tools capable of managing petabytes of data and billions of files. Virtualizing your file storage space and allowing multiple systems and applications to share common pools of storage provides you the flexibility to transparently administer the infrastructure without disrupting applications, improving cost and energy efficiency, while reducing management overhead.
Massive namespace support, seamless capacity and performance scaling, along with proven reliability features and flexible architecture of GPFS helps your company foster innovation by simplifying your environment and streamlining data workflows for increased efficiency.
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