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HP AG828-63021 EVA HSV300 4GB Controller with Embedded Switch
- Type: EVA Controller
- Model: HSV300
- Features: Embedded Switch
- Compatibility: HP Enterprise Virtual Array (EVA)
- Function: Storage management and connectivity
- Memory: 4GB (implied by context, often associated with controllers)
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Typically 1-2 handling + 3-7 transit days
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For government, enterprise, data center, and small business customers.
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Product Overview
The HP AG828-63021 is an EVA HSV300 Controller with an Embedded Switch. It is a key component of HP's Enterprise Virtual Array (EVA) storage systems, designed to manage storage resources and provide high-speed connectivity.
Technical Information
| Type | EVA Controller |
| Model | HSV300 |
Additional Specifications
| Features | Embedded Switch |
| Compatibility | HP Enterprise Virtual Array (EVA) |
Product Description
The HP AG828-63021 represents a core processing and connectivity unit within HP's Enterprise Virtual Array (EVA) storage solutions. The HSV300 designation refers to the specific generation or model of the storage controller, which is responsible for managing the virtualized storage environment. EVAs are known for their advanced features like thin provisioning, snapshots, and replication, all orchestrated by these powerful controllers. The inclusion of an embedded switch is a significant feature, as it simplifies the SAN infrastructure by integrating network switching capabilities directly into the controller. This reduces the need for external Fibre Channel switches in certain configurations, potentially lowering costs and complexity. The controller manages the flow of data between servers and the physical disk drives within the EVA, ensuring high availability and performance. This controller is designed to handle the demanding I/O operations of enterprise applications, providing the intelligence and bandwidth necessary for virtualized environments, databases, and other critical workloads. Its role is central to the functionality and performance of the EVA system, enabling features like data redundancy, performance optimization, and efficient storage utilization through virtualization.
