High Performance Computing
High Levels of Throughput and Massive Scalability
The Isilon scale-out NAS platform meets the storage requirements of both HPC and technical computing environments, eliminating the need to move data from disparate, specialized storage solutions. With Isilon, you can also consolidate virtualized and non-virtualized application storage with standard networking and file sharing protocols.
Power and Simplicity
The Isilon storage system delivers industry leading scalability – up to 144 nodes in a single cluster and over 15 petabytes in a single file system. Once racked, an Isilon cluster takes less than 10 minutes to configure and set up, and capacity can be added in less than 60 seconds with no downtime.
Isilon is ideal for high throughput, highly concurrent environments where clusters of Windows®, Unix, Linux® and/or Mac® OS X clients require fast read and write access to large, shared pools of data. Isilon utilizes a private Infiniband network as an intra-cluster communication and synchronization backplane, and uses symmetric metadata and locking schemes – eliminating the need for dedicated metadata servers.
Isilon offers a broad range of hardware implementations to address every storage tier, including SSD, SAS, SATA, and mixed disk environments. Isilon offers a wide range of enterprise storage management applications, including snapshots, replication, quota management, client-side load-balancing, WAN acceleration, and performance introspection with file-system analytics.
The Isilon Scale-out NAS Platform is ideal for:
- Virtualized IT data centers running tens to hundreds of VMs on a few physical servers or outsourcing their processing power as a cloud infrastructure.
- Media & Entertainment rendering farms for complex 3D animation image processing.
- Academic research for computation intensive analysis and workloads.
- Bio-informatics research labs running proteomic sequencing applications to find new biomarkers and drug targets.
- Financial modeling firms running statistical analysis for predictive modeling of future stock valuations and their derivatives.