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HP 583999-001 4X QDR Infiniband DP PCI-Express 2.0 X8 Mezzanine HCA
- Interface: PCI-Express 2.0 x8
- Technology: 4X QDR Infiniband
- Form Factor: Mezzanine
- Host Channel Adapter (HCA)
- Designed for HPC and high-speed storage
- Low latency connectivity
- High bandwidth performance
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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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Product Overview
The HP 583999-001 is a 4X QDR Infiniband Host Channel Adapter (HCA). It features a PCI-Express 2.0 x8 interface and a Mezzanine form factor, designed to provide high-speed, low-latency connectivity for servers in High-Performance Computing (HPC) and storage environments.
Technical Information
| Product Type | Host Channel Adapter (HCA) |
| Interface | PCI-Express 2.0 x8 |
| Technology | 4X QDR Infiniband |
Additional Specifications
| Form Factor | Mezzanine |
| Brand | HP |
| Part Number | 583999-001 |
Product Description
The HP 583999-001 is a specialized Host Channel Adapter (HCA) engineered to deliver exceptional performance for demanding computational and data-intensive workloads. Utilizing the 4X QDR Infiniband standard, it provides a raw bandwidth of up to 40 Gbps per lane, enabling extremely fast communication between servers and storage systems or other compute nodes. This high-speed interconnect is crucial for applications such as High-Performance Computing (HPC) clusters, large-scale data analytics, and high-performance storage fabrics. The adapter connects to the server via a PCI-Express 2.0 x8 interface, ensuring sufficient bandwidth for the Infiniband connection and minimizing potential bottlenecks. The Mezzanine form factor indicates a compact design, often used in specific server configurations or blade systems where space is at a premium. This form factor allows for efficient integration within the server chassis, contributing to overall system density. With its focus on low latency and high throughput, the 583999-001 is designed to accelerate data-intensive operations, reduce processing times, and improve the efficiency of parallel computing environments. It is a key component for organizations looking to build or upgrade infrastructure for scientific research, financial modeling, rendering farms, and other applications that rely on rapid data exchange.
