Building High-Performance Data Pipelines for Next-Generation AI Workloads
Introduction
AI infrastructure has traditionally focused on accelerating compute with powerful CPUs, GPUs, and AI accelerators. As AI workloads continue to process increasingly large and diverse datasets, compute alone is no longer sufficient. Next-generation AI infrastructure must extend from compute to data, featuring high-performance data pipelines that keep AI workloads running efficiently and seamlessly.
Building the AI Data Pipelines
GenAI data pipelines move data through multiple stages, from diverse data sources and ingestion to preprocessing, embedding generation, storage, retrieval, inference, and serving. These pipelines handle vast volumes of unstructured data including documents, images, audio, and video, as well as real-time interactions to support RAG, content generation, and further innovative applications.
Real-time AI applications require continuous data ingestion and rapid processing to support responsive interactions and AI-powered decisions, while RAG and inference workloads require frequent and concurrent access to datasets, embeddings, knowledge bases, and model data. As pipelines scale, they must efficiently manage massive data volumes and high-throughput I/O across distributed environments. To meet these demands, high-performance storage has become a critical architecture requirement, driving the adoption of next-generation standards.
E3.S NVMe SSD for High-Throughput AI Data
As part of the Enterprise and Datacenter Standard Form Factor (EDSFF) family, E3.S was designed specifically to address the performance, density, and scalability requirements of modern data center storage. Its compact form factor enables high storage density and more efficient use of chassis space. E3.S is also designed to accommodate next-generation PCIe interfaces, including PCIe Gen6, enabling higher bandwidth for increasingly demanding data workloads.
By combining high storage density with next-generation PCIe bandwidth, E3.S provides a scalable storage foundation for growing AI environments. Its ability to deliver high-performance storage within a compact footprint helps address the increasing requirements for throughput, capacity, and efficient data movement across the AI pipelines.
AEWIN All-Flash Storage Server for AI Data Pipelines
AEWIN extends its infrastructure portfolio with the BS28-A10710 All-Flash Storage Server, a 2U1P platform supporting 16 E3.S Gen6 NVMe SSDs. Built with AMD EPYC™ 9006 series Server CPUs, the platform provides superior computing power and high-density storage for data-intensive operations. It supports 16 DDR5 RDIMM/MRDIMM slots to provide high memory bandwidth required for demanding data processing workloads.
With PCIe Gen6 CEM slots and OCP 3.0 slots, the BS28-A10710 provides scalability for high-performance networking, accelerators, and I/O expansion, enabling efficient data movement within the infrastructure. By combining high-density E3.S Gen6 storage, high-performance computing and sufficient memory in a single platform, AEWIN delivers the balanced foundation required to power next-generation AI workloads through high-performance data pipelines.
Summary
As AI workloads continue to scale in both compute and data, infrastructure must evolve beyond a compute-centric architecture. High-performance storage and faster data movement are becoming essential to keeping AI pipelines efficient, responsive, and scalable. With high-density E3.S NVMe storage, high-performance compute, and PCIe Gen6 connectivity, AEWIN enables an integrated approach to supporting the scalable data pipelines for next-generation AI workloads.
