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The US stock earnings season focuses on AI realization, and Gate continues to strengthen its global asset allocation service capabilities

As the second quarter earnings season for US stocks enters a phase of intensive disclosure, the performance of the AI industry chain has become the focus of market attention. Investors are particularly focused on the capital investments of tech giants in AI, the growth of cloud computing, and commercialization progress. The market's focus is gradually shifting from expectations of AI development to the ability to realize profits. Meanwhile, geopolitical risks continue to disrupt global markets, with safe-haven assets such as energy and gold drawing attention, and the demand for cross-asset allocation and risk management among investors further increasing.In response to changes in the global market structure, Gate has continuously strengthened its institutional-level infrastructure and comprehensive service capabilities. Relying on a multi-asset trading system covering stocks, indices, foreign exchange, commodities, and digital assets, it provides professional users with market insights, trade execution, and asset management support. In the second quarter of 2026, the scale of Gate's institutional OTC Loan lending increased by 43.61% year-on-year, and the scale of leveraged lending rose by 14.33% quarter-on-quarter; at the same time, the SBE market service was launched, supporting public and private data channels, and a new contract Book Ticker real-time market push capability was added, further enhancing trading efficiency and quantitative strategy execution capabilities.In the future, Gate will continue to deepen its global institutional ecosystem layout, improve its trading, liquidity, and asset management service system, and assist professional users in more efficiently responding to market changes and seizing cross-asset trading opportunities.

DGrid officially launches a decentralized AI model marketplace, where model providers can freely list their models and earn on-chain revenue

The decentralized AI intelligent network DGrid announced that its decentralized AI model marketplace (DGrid Model Marketplace) is officially online.The marketplace is open to three types of model providers: model developers, model fine-tuners, and model deployers with computing infrastructure capabilities. They can freely list models on the platform, set their own prices, and earn real-time settlement revenue when models are called. For developers, the marketplace provides a unified entry point to discover, compare, and directly call various models through a unified API, without the need to switch between different platforms or connect to multiple interfaces.DGrid stated that the model marketplace is the "supply side" of its network, working in coordination with the AI Gateway (access side) responsible for calls, connecting AI creators and users. Currently, DGrid has aggregated over 200 mainstream models, including Claude, GPT, Gemini, MiniMax, GLM, Kimi, and has more than 15,000 paid users.In terms of quality assurance, the marketplace is supported by DGrid's self-developed Proof of Quality (PoQ) mechanism. PoQ conducts independent, random sampling of model providers through the platform's own benchmark test set and records the verification results on-chain to ensure service quality and pricing transparency—this mechanism does not touch user call data. The core members of the DGrid team have doctoral backgrounds from institutions such as Stony Brook University and have published 4 academic papers related to PoQ.Currently, the DGrid Model Marketplace is officially online. Model providers can apply to join, and developers can also experience one-stop AI model discovery and access services through the platform.
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