XSKY推全栈AI数据方案AIMesh：要做AI的“工作记忆”底座

Core Insights - NVIDIA CEO Jensen Huang highlighted that "storage is a completely underserved market in the AI field" and emphasized the need for massive working memory, which has sparked significant discussion in the global tech community [1] - XSKY has launched its full-stack AI data solution, AIMesh, which represents a shift from being a traditional storage vendor to becoming a builder of AI data infrastructure [1] Group 1: AI Data Solution - AIMesh addresses the core pain points of the current AI industry with a "decoupled, open, and persistent" architecture [1] - XSKY's philosophy is that while computing power has a short lifecycle, the value of data lasts much longer, with proprietary data often lasting 10-20 years [2] - The company introduced the concept of "data evergreen" to ensure that data remains valuable and accessible despite changes in computing power [2] Group 2: Technical Innovations - AIMesh focuses on overcoming three major technical bottlenecks to support the large-scale, low-latency, high-throughput working memory required for AI [5] - MeshFusion breaks through the "memory wall" by simulating L3-level persistent memory using local SSDs, expanding the context window at a cost of just 1% [7] - MeshSpace eliminates the "data wall" by supporting EB-level global namespaces, allowing data to flow freely across public clouds, private clouds, and edge nodes without migration [7] - MeshFS optimizes file system performance, increasing write bandwidth by 50% compared to mainstream solutions, significantly reducing GPU idle time [7] Group 3: Company Evolution - XSKY has evolved from a software-defined storage provider, creating "digital libraries," to an operator of "data factories" in the AI era [8] - The launch of AIMesh marks a critical leap for XSKY from being an IT infrastructure supplier to a core component provider in the Data Intelligence era [8] - The company aims to safeguard the long-term, secure, and efficient value of data, positioning itself as the "second brain" for AI [8]