GPU computing power is becoming a core resource in the Web3 ecosystem—this trend has shifted from the fringes to the mainstream. Recently, a new type of project has emerged that attempts to directly map GPU computing power onto the blockchain, rather than treating it solely as a mining tool.

Take NVIDIA Compute Network(NCN) as an example. Its token $NVAI has an interesting design logic. The project team does not emphasize profit expectations or price appreciation; instead, they dedicate a significant portion of their explanation to a core mechanism—Proof of Compute.

In simple terms, the operation logic of this system is: GPUs perform real AI tasks(training, inference, generation), with these computational processes recorded on-chain in real-time. The amount of tasks completed is recorded on the ledger accordingly. The benefit of this approach is that computing power shifts from being a costly resource to a used resource—meeting AI computational needs while enabling value settlement.

Interestingly, this architecture naturally aligns with NVIDIA’s own tech stack. Tools like CUDA, RTX, and Jetson are originally core components of compute resource management. The new project extends this system onto the blockchain, rather than stitching together a story afterward. From a bottom-up design perspective, there is indeed logical consistency.

Of course, the key factor for such projects is timing. Early participation and late follow-up often differ greatly. If you are interested in AI + compute power + public chains, similar projects are worth understanding. Missing the initial window makes it difficult to have the same opportunities again.

The exploration of tokenizing compute power is still in its early stages. What it will develop into remains uncertain. But from a technical perspective, turning GPUs into on-chain resources rather than mere consumables is a concept worth paying attention to.