Key features of the IBM Elastic Storage System 3000

IBM Spectrum Scale

The performance leader in software-defined storage with the ability to easily scale performance and capacity. IBM Spectrum Scale is the choice of the most demanding compute environments and optimized for modern AI workloads with small file performance and extremely fast metadata operations.

IBM Spectrum Scale Erasure Coding

Distributes data across nodes and drives for higher durability without the storage overhead of replication. Allows rebuild of failed disks in minutes instead of hours compared with traditional RAID. In many cases, recovery can happen in the background while operations continue.

True scale-out capability

IBM Spectrum Scale scales performance and capacity linearly with automatic load balancing. As a parallel file-system it avoids network-attached storage (NAS ) performance bottlenecks, which can choke on the data throughput requirements of clustered computation and GPUs.

Global sharing and collaboration

Available on IBM solutions, as software, or in the cloud, IBM Spectrum Scale shares data across geographically distributed sites even with unreliable networks, caches data from multiple remote sites and gains performance similar to local data using Active File Management (AFM).

Policy-based tiering

ESS 3000 is ideal for tier 0 or tier 1 storage. Management software provides automatic movement of data between storage tiers including SSD, HDD, tape and cloud, according to user-defined policies.

Integrated and modular

Enables quick deployment of the initial solution and additional blocks of storage as demands increase. ESS 3000 is designed for high availability and balanced to maximize throughput. Choosing ESS 3000 allows organizations of any size to deploy NVMe scale-out NAS with deployment simplicity and the ability to grow.

Ease of management

Containerized software delivery means easy software install and upgrade that can be done by IT staff without the need for storage specialists. A powerful management GUI minimizes demands on IT staff time and expertise.

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