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HPE WekaIO Matrix Tiering - Subscription License - 1 TB Capacity - 1Year
- Intelligent data tiering for storage optimization
- Enhances performance by placing hot data on fast tiers
- Reduces costs by moving cold data to slower tiers
- Supports various storage protocols and media types
- Automates data placement based on access patterns
- Scalable solution for large data environments
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Product Overview
HPE Q9R02AAE is a subscription license for WekaIO Matrix Tiering, a software solution designed to optimize data storage performance and cost by intelligently tiering data across different storage media. It enhances access to frequently used data while moving less active data to more cost-effective storage tiers.
Technical Information
| Product Type | Subscription License |
| Software | WekaIO Matrix |
| Feature | Tiering |
Additional Specifications
| Capacity | 1 TB |
| Term | 1 Year |
Product Description
WekaIO Matrix Tiering, licensed under HPE Q9R02AAE, is an advanced software solution focused on optimizing storage infrastructure by implementing intelligent data tiering. In modern data centers, managing vast amounts of data across diverse storage media (like NVMe SSDs, HDDs, and cloud object storage) presents a significant challenge in balancing performance, capacity, and cost. WekaIO Matrix addresses this by automatically analyzing data access patterns and dynamically moving data between different storage tiers. Frequently accessed 'hot' data is prioritized and kept on the fastest storage media, ensuring low latency and high throughput for performance-sensitive applications. Conversely, less frequently accessed 'cold' data is migrated to more cost-effective, higher-capacity storage tiers, significantly reducing the overall storage expenditure without compromising access to the data. This process is transparent to users and applications, ensuring a seamless experience. The 1 TB capacity and 1-year subscription term specified in the license indicate the scope and duration of the service. This solution is particularly beneficial for workloads such as AI/ML, high-performance computing (HPC), and large-scale analytics where efficient data management is critical for operational success and cost control.
