
Safe Checkout
Secure Payments
Fast Delivery
Order Today
Free Shipping
Across the US
Easy Returns
Hassle-Free
Dell DTTHJ Left Riser Board for PowerEdge R740
- Left riser board
- Designed for Dell PowerEdge R740 servers
- Provides PCI Express slots for expansion
- Supports installation of add-in cards
- Enhances server's I/O capabilities
- Ensures compatibility with R740 chassis
Free Ground Shipping
(Within US)
We process POs for Government Agencies, Enterprises, Data Centers and SMBs.
Bulk Purchase Inquiries
Large-Scale Fleet Deployment Support
Product Overview
The Dell DTTHJ is a left riser board designed for the Dell PowerEdge R740 server. It provides PCIe slots for expansion cards.
Technical Information
| Product Type | Riser Board |
| Position | Left |
Additional Specifications
| Server Compatibility | Dell PowerEdge R740 |
| Part Number | DTTHJ |
Product Description
The Dell DTTHJ is a specific riser board engineered for the left side of the Dell PowerEdge R740 server chassis. This component is crucial for enabling the installation of various PCI Express expansion cards, thereby increasing the server's input/output capabilities. It plays a vital role in allowing IT administrators to customize the R740 to meet the specific demands of different workloads and applications. This riser board is designed to integrate seamlessly with the PowerEdge R740's motherboard and chassis, ensuring proper alignment and connectivity for the installed PCIe devices. It supports the high-speed data transfer required by modern expansion cards, making it a fundamental part of a scalable and versatile server infrastructure. The DTTHJ is essential for configurations that require additional network adapters, storage controllers, or other specialized hardware. By providing the necessary physical and electrical interface, the Dell DTTHJ riser board allows the PowerEdge R740 to accommodate a wider array of components. This enhances the server's adaptability, enabling it to serve effectively in diverse roles, from general-purpose computing to high-performance data analysis and virtualization.



