The AI industry is rushing towards a scale of $860 billion, but the bottleneck of computing power and centralized control has always been a hurdle. Some approach it from hardware—providing sufficient distributed computing resources; others start from software logic—building decentralized intelligent coordination systems. Only by combining these two approaches can the true pathway for AI and blockchain integration be opened.

Take Render as an example. It functions like a computing power factory for the AI ecosystem, continuously supplying distributed computing capabilities. Fetch.AI (FET), on the other hand, is doing something different—it lays down a decentralized neural network on this solid computing foundation. To put it simply, Render is responsible for "outputting power," while FET is responsible for "outputting intelligence." FET is building an economic internet driven by autonomous AI agents, with the core selling point being the complete dismantling of the centralized AI power monopoly. In traditional systems, a company or institution controls everything; in the FET network, decision-making power is distributed across thousands of nodes. No one can control it alone, and nodes verify each other to ensure transparency.

When applied to real-world scenarios, the power of this mechanism becomes evident. Algorithmic trading in decentralized finance, automatic collaboration between IoT devices, intelligent scheduling in supply chains—all can operate autonomously and efficiently under the support of Render’s computing power when connected to the FET network. No middlemen, no single point of failure.

Since the mainnet launched in 2019, FET has achieved impressive results. By 2025, over 500 AI-enabled decentralized applications have been incubated within its ecosystem. As Render’s computing network continues to expand, FET is expected to further unleash the potential of decentralized AI, pushing the entire industry from traditional centralized control toward a new stage of distributed autonomy.