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“Gradient ” draws inspiration from “Gradient Descent” in machine learning. reflecting our phased approach to realizing the future of ubiquitous compute. Our vision is to make compute inclusive, accessible, and affordable for all. By build a decentralized edge compute platform where distributed, heterogeneous, and underutilized computational resources around the world can be connected, abstracted, and utilized, we aim to empower the most innovative edge compute use cases including content delivery, serverless compute, AI inference, and shape the future of compute consumption.
Our vision is to make compute inclusive, accessible, and affordable for all. By build a decentralized edge compute platform where distributed, heterogeneous, and underutilized computational resources around the world can be connected, abstracted, and utilized, we aim to empower the most innovative edge compute use cases including content delivery, serverless compute, AI inference, and shape the future of compute consumption.