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Quanta T21P-4U QUANTA QUANTAPLEX T21P 4U 2-NODE 70XLFF CTO Chassis
- 4U rackmount chassis designed for high-density computing.
- Accommodates two independent server nodes within a single chassis.
- Supports 70x 2.5-inch LFF (Large Form Factor) or SFF (Small Form Factor) drive bays.
- Provides shared or dedicated power supply options for the nodes.
- Offers extensive I/O and expansion capabilities per node.
- Ideal for scale-out deployments, cloud computing, and HPC clusters.
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Product Overview
The QuantaQuantaplex T21P is a 4U rackmount server chassis designed to house multiple server nodes, offering a high-density computing solution. This CTO (Configure-to-Order) chassis allows for flexible configuration of its two nodes.
Technical Information
| Form Factor | 4U Rackmount Chassis |
| Number of Nodes | 2 |
| Drive Bays | Up to 70x 2.5-inch LFF/SFF |
Additional Specifications
| Chassis Type | CTO (Configure-to-Order) |
| Target Use | High-density computing, Scale-out |
Product Description
The QuantaQuantaplex T21P is a high-density 4U rackmount server chassis engineered to house two independent server nodes. This design allows organizations to deploy a significant amount of computing power and storage within a single rack unit, making it an excellent choice for scale-out environments, cloud infrastructure, and high-performance computing (HPC) clusters. This CTO chassis offers substantial flexibility in configuration. It can accommodate up to 70 drive bays, supporting either 2.5-inch Large Form Factor (LFF) or Small Form Factor (SFF) drives, providing ample storage capacity and options for various data-intensive applications. The chassis is designed to support shared or dedicated power supply configurations, enhancing reliability and power efficiency. Each of the two server nodes within the T21P can be independently configured with processors, memory, and I/O options, allowing for tailored solutions to meet specific workload requirements. The QuantaQuantaplex T21P represents a powerful platform for consolidating infrastructure, reducing data center footprint, and achieving high levels of performance and scalability.
