Nvidia's Quiet Bet on AI Sandboxes Could Decide Who Wins the AI Agent Era
Most enterprise AI apps today simply wait for an LLM to respond. That changes when agents begin writing and running code.
Overview
Imagine an enterprise app that analyzes company financial filings.
Today, the app gathers earnings releases and relevant market data. It sends that information to a closed model like Claude through an API, waits for a response, and presents the resulting analysis to the user.
Details
The model may run on thousands of expensive accelerators. But none of that changes the enterprise app's hardware stack. From the developer's perspective, the app simply waits for the model to respond.
Source
Originally published at www.fool.com.
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