ZK infrastructure has a problem that raw computing power cannot solve: availability means nothing if a proof cannot be delivered on time. A network can have thousands of GPUs and still struggle to serve an application when it matters most. Hardware might be available, but not compatible with a particular workload. A machine might accept a job but fail to complete it within the required timeframe. Even successful proof generation becomes less useful when coordination introduces unnecessary delays. The real challenge is turning scattered computing resources into a system developers can actually depend on. This is what makes the infrastructure layer behind zero-knowledge technology worth watching. As ZK applications expand, proving requirements become increasingly diverse. Different workloads demand different hardware capabilities, execution times, and resource allocations. Treating every machine as interchangeable ignores the complexity of getting a specific job from request to successful completion. @fermah_xyz is approaching this challenge through Froben, with a focus on making proving resources accessible through a coordinated marketplace. The interesting part isn't simply connecting applications to more hardware. It's improving how workloads find suitable resources, how operators contribute their available capacity, and how the system handles execution when conditions change. Consider what this means for a growing ZK project. Instead of building its own infrastructure around every possible workload, the team could access a broader pool of proving resources. Meanwhile, operators gain opportunities to put their hardware to work on tasks suited to their capabilities. Both sides benefit from better coordination, but only if the infrastructure can deliver consistent results. That is where the real competitive advantage lies. A proving marketplace should ultimately be judged by the work it completes, not the hardware it advertises. How reliably can it match workloads with suitable machines? How efficiently can it turn available resources into completed proofs? How well does it maintain performance as demand and workload requirements change? These are the questions that separate a directory of computing resources from infrastructure that applications can build around. For the ZK ecosystem, that distinction matters. Developers should be focused on building useful applications, not constantly worrying about whether the proving layer can keep up. If @fermah_xyz can make proof generation more accessible, coordinated, and dependable through Froben, it could help remove an important obstacle to ZK adoption. Because the next stage of ZK growth won't depend on computing power alone. It will depend on how effectively that power is organized into reliable proof delivery.