In a recent interview with new Nasuni CEO Sam King and field CTO John Capello, the focus was on integrating AI within the company’s cloud file services. They discussed advancements in AI, including unstructured data vectorization and Model Context Protocol (MCP) support. Capello confirmed that AI workloads are shifting from files to object-based data and noted the significance of high-performance file systems.
Nasuni is investing in a performance-enhanced solution to support Nvidia’s GPUDirect for improved IOPS and throughput. They foresee both on-premise and edge sites playing vital roles in AI training and inference using local GPU servers, with ongoing support for third-party vectorization services.
Capello emphasized the importance of integrating solutions for efficient data access while planning to enhance the Nasuni platform for AI management. The firm aims to leverage AI LLMs and agents to streamline administration, thereby improving deployment and data insights for their customers.
Source link
