HPE R8L22A

Parallel File System Gigabit Ethernet Adapter

The HPE R8L22A Parallel File System Gigabit Ethernet Adapter is purpose-built to meet the bandwidth and latency requirements of large-scale data-intensive environments. Optimized for parallel file systems such as Lustre and IBM Spectrum Scale, this adapter delivers exceptional throughput and efficiency in HPC, AI, and large-scale analytics applications. Designed for seamless integration into high-performance compute nodes or storage servers, the R8L22A ensures that data can move quickly between distributed storage and processing units, minimizing delays and maximizing compute resource utilization. Whether for scientific computing, financial modeling, or real-time simulation, this adapter supports ultra-fast, reliable data movement across complex infrastructure.

Features

Built for environments that depend on the high-speed, low-latency transfer of massive datasets, the R8L22A excels in parallel file system deployments. It connects compute and storage clusters with optimized Ethernet interfaces capable of handling simultaneous, high-throughput data flows required by distributed workloads. Ideal for integration with scalable storage architectures, it enhances I/O performance, reduces bottlenecks, and supports seamless data access across nodes. The adapter is designed to handle multi-threaded data streams with minimal CPU overhead, allowing workloads to scale efficiently across thousands of cores. It includes advanced networking features such as RDMA over Converged Ethernet (RoCE), large receive offload, and low-latency packet processing. This makes it a critical component for achieving balanced performance between computation and I/O in performance-sensitive deployments.

Advanced Options

Engineered for sustained throughput and deterministic performance, the HPE R8L22A adapter helps organizations scale their I/O pipelines in high-performance environments. Its support for RDMA enables direct memory access between nodes, minimizing latency and freeing up compute resources. By handling data transmission at the hardware level, the adapter reduces CPU involvement, leading to improved application performance and lower total system overhead.