Gonka's total network computing power surpasses the equivalent of 10,000 H100s, with daily usage of the top five inference models nearing 100 million tokens.

PANews, December 17 – According to data from Gonka Explorer, the decentralized AI inference network Gonka has seen its total network computing power surge nearly 20-fold, surpassing the equivalent of 10,000 Nvidia H100 GPUs, reaching 10,729 as of December 17. This scale is comparable to a large national-level AI computing center or the core AI cluster of a leading cloud provider, capable of simultaneously supporting the training of large models with tens of billions of parameters and sustained high-throughput inference for models with hundreds of billions of parameters.

Gonka integrates global GPU resources in a decentralized manner, forming a sustainably scalable high-performance AI computing network without the need for centralized data centers. This computing milestone marks Gonka's official entry into the ranks of the world's top AI infrastructure networks, with the capability to provide commercial-grade API services.

Gonka currently supports five mainstream AI inference models. Since its mainnet launch just three months ago, the total daily (per epoch) usage of inference models has approached 100 million tokens, with the mainstream model Qwen3-235B-Instruct seeing daily usage of about 30 million tokens, demonstrating exponential growth potential. Nearly 600 active nodes from more than 30 countries and regions have joined the Gonka computing network, with over 2,000 daily users of AI inference services. Data shows that the growth rate of Gonka's inference usage has far outpaced the growth of network nodes and computing power, validating the strong market demand for Gonka's decentralized inference services and the viability of its business model.

As previously reported, as an efficient decentralized AI inference and training network, Gonka recently secured a $50 million investment from Bitfury, with support from OpenAI investor Coatue, Solana investor Slow Ventures, and others. It is regarded as one of the most promising emerging infrastructures in the AI × DePIN sector.