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Dell 191G8 PowerEdge R410 CTO Chasis (Refurbished)
- Chassis for Dell PowerEdge R410 server
- CTO (Configure-To-Order) model
- Provides foundational server structure
- Designed for rack-mount deployment
- Supports various component configurations
- Enables customized server builds
- Refurbished condition
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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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Volume pricing and availability
Product Overview
The Dell 191G8 is a CTO (Configure-To-Order) Chassis for the PowerEdge R410 server. This chassis provides the foundational structure for building a customized server configuration, designed for performance and reliability in data center environments.
Technical Information
| Product Type | Server Chassis |
| Server Model | Dell PowerEdge R410 |
Additional Specifications
| Configuration | CTO (Configure-To-Order) |
| Form Factor | Rack-mountable |
Product Description
The Dell 191G8 represents the chassis component for the Dell PowerEdge R410 server. As a CTO (Configure-To-Order) model, this chassis is the starting point for building a customized server solution tailored to specific IT needs. It provides the physical enclosure, motherboard mounting, power supply bays, drive bays, and cooling infrastructure required for a functional server system. This chassis is designed for rack-mount environments, typically fitting into standard 19-inch server racks. Its form factor is optimized for space efficiency within data centers while accommodating the necessary components for a robust server. The 'Refurbished' status indicates that this unit has been previously used, inspected, restored, and tested to ensure it meets functional standards, offering a cost-effective option for server builds. By purchasing a CTO chassis like the 191G8, users have the flexibility to select and install compatible processors, memory modules, storage drives, network interface cards, and other peripherals. This allows for the creation of a server that precisely matches performance requirements, budget constraints, and application demands, making it a versatile option for various computing tasks.
