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Dell 0FFPJP PCI Express x16 Riser2 Card for PowerEdge R640
- PCI Express x16 Riser2 Card for Dell PowerEdge R640.
- Offers one PCI Express x16 slot.
- Supports high-bandwidth peripherals like GPUs or high-speed network cards.
- Ensures proper integration and connectivity within the R640 chassis.
- Designed for optimal performance and compatibility.
- Facilitates server customization for demanding workloads.
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Product Overview
The Dell 0FFPJP is a PCI Express x16 Riser2 Card designed for the Dell PowerEdge R640 server. It provides an expansion slot for high-bandwidth PCIe devices.
Technical Information
| Product Type | Riser Card |
| Number of Slots | 1 |
| Interface | PCI Express x16 |
Additional Specifications
| Server Compatibility | Dell PowerEdge R640 |
| Part Number | 0FFPJP |
Product Description
The Dell 0FFPJP is a PCI Express (PCIe) x16 Riser2 Card specifically designed for the Dell PowerEdge R640 server. This component is crucial for expanding the server's I/O capabilities, particularly for accommodating high-performance peripherals that require the full bandwidth of a PCIe x16 slot. Its primary function is to provide a physical and electrical interface for installing devices such as graphics processing units (GPUs), high-speed network adapters (e.g., 100GbE), or other specialized accelerator cards. Engineered for the PowerEdge R640, this riser card ensures seamless integration within the server's chassis, maintaining proper airflow and signal integrity. The 'Riser2' designation indicates its position or function within the server's riser configuration, often complementing other riser cards to provide a comprehensive I/O solution. The x16 interface is vital for applications that are bandwidth-intensive, such as deep learning, scientific simulations, or high-frequency trading. By incorporating the 0FFPJP riser card, administrators can significantly enhance the computational power and versatility of the PowerEdge R640. This allows the server to be configured for a wider range of demanding tasks, from data analytics and AI/ML workloads to high-performance computing (HPC) environments. It represents a key element in maximizing the server's potential for specialized and resource-intensive applications.
