Gonka's total network computing power has exceeded 10,000 H100 equivalent tokens, and its five inference models have a daily usage of nearly 100 million tokens.

Data from the Gonka browser shows that the decentralized AI inference network Gonka's total computing power has surged nearly 20 times, exceeding the equivalent of 10,000 NVIDIA H100 GPUs, reaching 10,729 (as of December 17th). This scale is equivalent 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 tens of billions of large models and the continuous high-throughput inference of hundreds of billions of models. Gonka integrates global GPU resources in a decentralized manner, forming a sustainably scalable high-performance AI computing power network without the need for centralized data centers. This computing power milestone signifies that Gonka has officially entered the ranks of the world's top AI infrastructure networks and possesses commercial-grade API service capabilities. Gonka currently supports five major AI inference models. In just three months since its mainnet launch, the total daily usage of inference models has reached nearly 100 million tokens, with the mainstream model Qwen3-235B-Instruct alone seeing approximately 30 million tokens used daily, demonstrating exponential growth potential. Currently, nearly 600 active nodes from over 30 countries and regions have joined the Gonka computing network, with over 2,000 users accessing the AI ​​inference service daily. Data shows that the growth rate of Gonka's inference usage far exceeds the growth rate of network nodes and computing power, validating the market's strong demand for Gonka's decentralized inference service and the feasibility of its business model. As previously reported, Gonka, as a high-efficiency decentralized AI inference and training network, recently received $50 million in investment from Bitfury and is supported by OpenAI investor Coatue and Solana investor Slow Ventures, among others, and is considered one of the most watched emerging infrastructures in the AI ​​× DePIN direction.