Birgitta Arnet

@VeryAI has raised $10M to build human verification for the age of AI. Some special things need to be done

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5/ Put it all together and you get a proof market. Projects request proofs. Provers generate them. The network coordinates the compute. Instead of building huge prover clusters, teams can just use Fermah.

4/ Matchmaker This is the coordination layer. It routes proving jobs to available provers and distributes work across the network. Think of it like a scheduler for proving tasks.

Let’s break down how the Fermah network actually works 1/ If you zoom out, Fermah is basically building a marketplace for ZK proving compute. Projects need proofs. Machines generate them. Fermah connects the two.

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5/ Zoom out and the pattern becomes clear: crypto isn’t just building financial networks. It’s starting to build markets for global compute. And GPU networks like Render, Akash, io. net, and @fermah_xyz could become key infrastructure.

4/ @fermah_xyz focuses on another major GPU workload: ZK proving. Generating zero-knowledge proofs requires huge amounts of compute. Fermah turns this into a marketplace for proving power.

1/ Projects like @fermah_xyz are emerging around a simple idea: turn heavy compute workloads into decentralized markets for GPUs. ZK proving is one example — but it’s part of a much bigger trend. A global GPU economy in crypto is starting to take shape 👇

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4/ Once the proof is generated, it’s verified and returned to the project. From the outside it looks simple: submit job → receive proof. But under the hood, a distributed compute network coordinated hardware, scheduling, and parallel proving.

3/ Then the job gets scheduled and distributed. Not every prover setup is the same — some GPUs or machines are better for specific proving systems. Large proving jobs can also be split and run in parallel, improving throughput and latency.

1/ In the previous thread we looked at the roles in Fermah. Now let’s go one level deeper: what actually happens after a proving job enters the network? Here’s the simplified pipeline 👇