Crypto-lowcap

Yesterday, I introduced @Keryx_Labs and its Proof-of-Model (PoM) approach to GPU mining. Today, let's look at the question that could determine whether this model makes economic sense. The GPU is not the business. Utilization is. Owning a GPU doesn't automatically make it profitable. Miners still pay for hardware and electricity, whether their computing power is being used or sitting idle. Now consider where AI is heading. Models need computing power not only to be trained, but to serve users, applications and AI agents every time they make an inference request. That creates a different economic question for GPU networks: can mining infrastructure also serve this ongoing demand? Here's how Keryx approaches it: Designated model weights → Miners prove possession → The same model capacity can serve inference requests. The aim is to connect model-weight possession to mining while putting that model capacity to work on AI inference. Why should this matter ? If a network can connect mining incentives to actual AI workloads, its economics may depend on more than block rewards. It also creates a way to assess whether the computing power is doing useful work and whether anyone needs that work. But the chain of evidence matters: GPU capacity → Inference requests → Successful responses → Utilization → Rewards measured against operating costs. Each step raises a practical question: → How often are miners actually serving requests? → How many requests are completed successfully? → Do the rewards justify hardware and electricity costs? → What does each inference response cost to produce? GPU count tells us how much capacity a network has. Utilization tells us how much of that capacity is being used. Cost per response helps reveal whether the service can compete for real demand. AI could create a new source of demand for compute networks, but demand alone doesn't guarantee profitable mining. The networks that matter will need to connect useful workloads, reliable service and sustainable economics. Useful links: Website: keryx-labs.com/ X: @Keryx_Labs Discord: discord.gg/6GXvSDCfV