In this Supermicro Open Storage Summit 2025 panel, theCUBE’s Rob Strechay brings together a powerhouse lineup - Ben Lee (Supermicro), Saurabh Giri (Voltage Park), Phil Manez (VAST Data), Nave Algarici (NVIDIA), Kelley Osburn (Graid Technology), and Tahmid Rahman (Solidigm) - to unpack how retrieval-augmented generation (RAG) is reshaping enterprise AI architectures. The discussion examines the entire AI stack, from GPU-accelerated compute and high-performance storage to secure data pipelines and next-gen infrastructure strategies. Lee outlines Supermicro’s vision for AI factories, where modular, rack-scale systems and global manufacturing enable enterprises to deploy AI faster, whether in the cloud, on-premises or at the edge. Giri highlights Voltage Park’s role in providing tightly integrated, end-to-end AI stacks that cut complexity for large-scale training and low-latency inference. Manez details VAST Data’s newly announced AI Operating System, designed to unify storage, databases and vector search at exabyte scale. Algarici shares NVIDIA’s advances with NeMo Retriever and NIM microservices, accelerating multimodal retrieval and inference across enterprise data. Osburn explains how Graid’s SupremeRAID eliminates bottlenecks by moving RAID to GPUs for higher efficiency. Rahman emphasizes Solidigm’s SSD innovation, from massive 122TB drives to Gen 6 TLC SSDs, designed to deliver power efficiency and throughput improvements across AI pipelines. The conversation also surfaces the practical challenges of RAG deployment, from evaluation and guardrails to storage latency, vector database scaling and sustainable design. Together, the panel paints a forward-looking picture of how enterprises can operationalize gen AI securely, efficiently and close to their most valuable data.