How Everpure plans to stop AI from starving without data

Imagine you are an AI Agent. You execute inside a $20-40 million-plus Nvidia SuperPOD system’s accelerator hardware, have a skill set and can call up other agents to do your bidding. An insurance company customer, using a PC browser or smart phone, asks a question: “Am I covered for weather-related damage under my current policy?” and it is handed off to an AI agent. What happens next? The agent itself runs on clusters of CPU + GPU/accelerator servers that host the large language model, any Retrieval-Augmented Generation (RAG) components, orchestration logic, and tools that look up the actual policy data. Those same servers (or tightly coupled backend systems) access the policy database/storage to answer the weather insurance...

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