
Giampiero Coronella
412 posts













Gradient goes beyond static content, utilizing idle compute resources from edge devices, personal computers, and local servers to perform real-time processing tasks. The thesis is similar to Pipe’s: operations like AI inference or serverless functions can happen closer to the user, reducing latency. @Gradient_HQ reported surpassing 20,000 connected nodes within 24 hours of its open beta launch. Hear from Gradient cofounder @yuangao at Breakpoint about Gradient Sentry, their first product:



Delivering content quickly from servers to end users is crucial for apps and services, whether it's static files like images or dynamic data like AI responses. Slow delivery can ruin user experience—think buffering videos or lagging web pages. Solana-based DePIN networks @pipenetwork and @Gradient_HQ incentivize users to contribute excess storage and compute power, respectively. By leveraging a larger network of nodes and tapping into existing infrastructure, they can potentially offer faster delivery, lower costs, and greater reliability.











