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HPE - Q1R43A SU-CHASSIS-X440 Pwr Sys Chassis:SGI HPCApollo Options
- Product Type: Power System Chassis
- Model: SU-CHASSIS-X440
- Part of HPE Apollo family
- Provides foundational structure for compute modules
- Designed for high-performance computing (HPC)
- Supports integrated power systems
- Scalable architecture for demanding workloads
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Product Overview
The HPE Q1R43A is a SU-CHASSIS-X440 Power System Chassis, part of the Apollo family of high-performance computing solutions. This chassis provides the foundational structure for integrating power and compute modules in demanding environments.
Technical Information
| Product Type | Power System Chassis |
| Model | SU-CHASSIS-X440 |
Additional Specifications
| Series | HPE Apollo |
Product Description
The HPE Q1R43A, identified as SU-CHASSIS-X440, is a critical component within HPE's Apollo high-performance computing (HPC) ecosystem. This power system chassis serves as the structural backbone for integrating multiple compute modules and their associated power delivery systems. It is engineered to support the intense demands of HPC workloads, providing a robust and scalable platform for data-intensive applications, scientific simulations, and complex analytics. The chassis is designed to house and manage the power requirements for a cluster of compute nodes, ensuring efficient power distribution and thermal management. Its architecture is optimized for density and performance, allowing organizations to deploy significant computing power within a compact footprint. The integration of power systems within the chassis simplifies deployment and maintenance, contributing to the overall operational efficiency of the HPC environment. As a foundational element of the Apollo family, the Q1R43A chassis enables the modularity and scalability that are hallmarks of HPC solutions. It allows for the flexible configuration of compute resources, adapting to evolving project needs and technological advancements. This makes it an essential piece of infrastructure for research institutions, large enterprises, and any organization pushing the boundaries of computational science and data processing.
