Everyone is trading the AI compute narrative. Almost nobody can explain the one problem it actually solves. Here is the part people skip. On a normal rented GPU, whoever owns the machine can technically see your data, your code, and your model weights. That single trust gap is why real builders never touched cheap decentralized compute. Targon just closed it. You can now rent confidential GPUs where even the host cannot see inside your workload. Intel TDX securing the CPU. Nvidia confidential computing securing the GPU. Encrypted end to end. Now look at the cost gap. Hyperscaler H200s run past 13 dollars an hour and force you into 8 GPU minimums. Targon starts at a fraction of that, no minimum, and you only pay for compute you actually use. This is the first time private model training on sensitive data becomes affordable without handing your weights to a landlord. And it is not a whitepaper. It is a live product running as a Bittensor subnet, which means real usage and the token can move together. The people who understand the infrastructure buy the thing before it trends. Everyone else buys the chart after. Save this before the compute narrative catches up. @TargonCompute @opentensor https://t.co/36T2ZwiwxW