Gonka vs Competitors: Render, Akash, io.net

Render Network uses GPUs for rendering 3D graphics and visual effects. This is an important task, but it is not AI inference. Render does not process neuron network requests and does not compete in the AI computing market. The RNDR token is tied to the 3D/VFX market, not the artificial intelligence market.

Akash is a decentralized cloud computing marketplace. You rent containers for any tasks: web servers, databases, ML training. Akash does not specialize in AI inference and does not offer an OpenAI-compatible API out of the box. It is a general-purpose platform—powerful, but without a focus on neural networks.

io.net aggregates GPUs from various sources and sells computing hours. Essentially, it is an intermediary between GPU owners and consumers of computing power. io.net does not perform AI inference itself: it provides the infrastructure, and what to run on it is decided by the renter. There is no built-in consensus, no verification of computations.

Gonka is the first network where Proof of Work = real AI inference. Each computation simultaneously serves the user and confirms a block on the blockchain. Sprint Consensus distributes tasks, PoC V2 verifies honesty, BLS signatures ensure security in less than 10 milliseconds. Render renders, Akash rents containers, io.net trades GPU hours—but only in Gonka are consensus and useful work inseparable.