Gonka's AI Network Sees Significant Surge in Computing Power

According to PANews, the decentralized AI inference network Gonka has experienced a substantial increase in computing power, with its network capacity soaring nearly 20 times to surpass 10,000 NVIDIA H100 equivalents, reaching 10,729 as of December 17. This scale is comparable to a large national AI computing center or a major cloud provider's core AI cluster, capable of supporting the training of large-scale models and high-throughput inference of even larger models. Gonka achieves this by integrating global GPU resources in a decentralized manner, eliminating the need for centralized data centers and forming a scalable high-performance AI computing network. This milestone signifies Gonka's entry into the ranks of top-tier global AI infrastructure networks, with the capability to offer commercial-grade API services. Currently, Gonka supports five mainstream AI inference models. Since its mainnet launch three months ago, the total daily usage of inference models has reached nearly 100 million tokens per epoch, with the popular model Qwen3-235B-Instruct accounting for approximately 30 million tokens daily, indicating exponential growth potential. The network has attracted nearly 600 active nodes from over 30 countries and regions, with more than 2,000 daily users of its AI inference services. Data shows that the growth rate of Gonka's inference usage has outpaced the increase in network nodes and computing power, demonstrating the market's strong demand for Gonka's decentralized inference services and the viability of its business model. Previously, Gonka, recognized as an efficient decentralized AI inference and training network, secured a $50 million investment from Bitfury, with backing from OpenAI investor Coatue and Solana investor Slow Ventures. It is regarded as one of the most promising emerging infrastructures in the AI × DePIN sector.