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HPE P24248-001 1 InfiniBand MCX653105A-ECAT PCIe4 x16 Network Adapter
- Single-port InfiniBand HDR100 connectivity.
- Based on Mellanox ConnectX-6 MCX653105A-ECAT technology.
- Utilizes QSFP56 connector for high-speed links.
- PCIe Gen4 x16 host interface for maximum bandwidth.
- Supports up to 100Gbps data transfer rate.
- Optimized for High-Performance Computing (HPC) and Artificial Intelligence (AI) / Machine Learning (ML) applications.
- Low latency and high message rate capabilities.
- Includes advanced features like RDMA and GPUDirect.
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Product Overview
The HPE P24248-001 is a high-performance InfiniBand network adapter featuring the Mellanox ConnectX-6 MCX653105A-ECAT chipset. It offers single-port connectivity with HDR100 speeds over a PCIe Gen4 x16 interface, designed for demanding HPC and AI/ML workloads.
Technical Information
| Product Type | Network Adapter |
| Technology | InfiniBand HDR100 |
| Chipset | Mellanox ConnectX-6 MCX653105A-ECAT |
| Port Configuration | 1 x QSFP56 |
| Speed | HDR100 (100Gbps) |
Additional Specifications
| Interface | PCIe 4.0 x16 |
| Form Factor | Standard PCIe Card |
| Manufacturer | HPE |
| Part Number | P24248-001 |
Product Description
The HPE P24248-001 represents a significant advancement in InfiniBand networking, built around the powerful Mellanox ConnectX-6 MCX653105A-ECAT controller. This adapter provides a single port capable of operating at InfiniBand HDR100 speeds, delivering a dedicated 100Gbps connection for critical applications. Equipped with a PCIe Gen4 x16 interface, this adapter ensures that the network connection is not a bottleneck, offering superior bandwidth and reduced latency compared to PCIe Gen3. This makes it an ideal choice for environments that demand the highest levels of performance, such as High-Performance Computing (HPC) clusters, advanced research facilities, and the training of large-scale AI and machine learning models. The adapter's design prioritizes efficiency and speed, incorporating features like RDMA (Remote Direct Memory Access) and GPUDirect. These technologies minimize CPU utilization and allow for direct data transfers between network interfaces and GPUs, accelerating application performance and enabling more efficient use of computational resources in demanding data center environments.
