Jen
26.6K posts




Decentralized compute has solved the supply problem. There are GPUs, CPUs, and edge devices available across dozens of networks, but having compute available and making compute work are two different things. A marketplace gives you access to hardware. Orchestration makes that hardware useful. When we talk about orchestration, we mean the system discovering available resources across different hardware types and owners, matching workloads to the right compute automatically, handling failures without anyone noticing, and settling payment between participants without manual invoicing. The term "orchestration" has been trending for months in AI infrastructure, and for good reason. As AI workloads get more complex (multi-agent, multi-device, multi-owner) the hard problem shifts from finding compute to coordinating it. This is especially true as compute moves beyond data centers into the physical world. Edge devices, smart buildings, robots, IoT hardware. These environments have intermittent connectivity, mixed hardware, multiple owners, and real-time constraints that you can't solve with a search bar and a price list. NuNet is an orchestration protocol where the software finds compute, not the user. The workload itself discovers resources, negotiates terms, and settles payments across any hardware, any owner, any location. That's the layer between "compute exists" and "compute works." What do you think is harder to build in decentralized infrastructure, supply or coordination?

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