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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.

PANews December 17th news, according to CryptoQuant analyst MorenoDV_, the current bitcoin price is close to investors' average purchase cost (around $81,500), which is an important psychological threshold. When the price is above this level, investors are generally more willing to hold; once it falls below, this position may turn into a selling pressure area. At the same time, the market sentiment indicator AVIV ratio shows that bitcoin is currently in a consolidation phase with low volatility, and investors are adjusting their positions. If the price can remain stable above $81,500 and the AVIV ratio (the ratio of active market value to realized value) remains steady, it indicates that market confidence is still present and the trend is likely to continue; but if it falls below this level, confidence may weaken and the price could further decline.