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Cloudflare launches AI proxy wallet, supporting autonomous payment API for agents

According to official news, Cloudflare announced the launch of Cloudflare Wallets, providing payment and identity infrastructure for AI Agents.Cloudflare stated that currently, when AI Agents attempt new APIs, they typically need to go through registration, login, payment, and API key generation processes designed for humans. This lack of stable identity and native payment capabilities makes it difficult for agents to autonomously explore and compare different services, limiting the development of agent commerce. The newly launched wallet system aims to address this issue, allowing AI Agents to more conveniently purchase APIs, content, and other digital services.Cloudflare Wallets will support two modes: Account Wallets and Virtual Wallets. Among them, Account Wallets are aimed at individual and business users, allowing them to recharge, manage funds, and allocate budgets for AI Agents; Virtual Wallets are specifically designed for AI Agents, operating through API keys and allowing users to set spending limits, whitelists, and single transaction caps as security rules, enabling agents to autonomously call APIs and purchase services within a controlled range.In addition, Cloudflare Wallets will support stablecoin storage, micropayments based on the x402 protocol, and will integrate with Cloudflare's previously launched Monetization Gateway, providing automated trading capabilities for websites and applications aimed at AI Agents.Cloudflare stated that the future internet will gradually form a new "agent economy" driven by AI Agents, where wallets, payments, and identity verification will become key infrastructure. Through the cloudflare.pay identity identifier, AI Agents can obtain a readable identity name, helping merchants identify their associated accounts and organizations while enhancing transaction transparency.Cloudflare claims it will continue to improve the agent commerce ecosystem, providing developers and businesses with the foundational tools to support AI Agents in autonomously purchasing, selling, and interacting, promoting the transition of the internet from a human-oriented service model to an agent-oriented automated market.

hot_img TrendForce: DRAM supply tightness will continue until 2027, Nvidia assesses and lowers Rubin Ultra HBM configuration

According to the latest research by TrendForce, the tight supply of DRAM is expected to continue until 2027, and the uncertainty of the HBM4e verification schedule is prompting AI chip manufacturers to consider reducing the HBM configuration of their next-generation products. Starting from Q3 2026, NVIDIA has begun evaluating the HBM solution for Rubin Ultra, expanding from the original 12-Hi HBM4e to alternative options such as 8-Hi HBM4e, 12-Hi HBM4, and 8-Hi HBM4, with the final specifications yet to be determined. Previously, due to the expected supply bottleneck of LPDDR5X lasting until 2027, NVIDIA decided to halve the SOCAMM capacity of the next-generation Vera Rubin Superchip module.TrendForce pointed out that the main reasons for the downgrade of Rubin Ultra from 12-Hi HBM4e include: the overall DRAM shortage in 2027 will limit the allocation of wafer capacity to HBM, and there is still uncertainty regarding the mass production schedule and yield ramp-up of 12-Hi HBM4e. It is expected that the HBM bit shipment volume in 2027 will increase by approximately 50-60% year-on-year, which will still be insufficient to meet the growth in demand. HBM suppliers will maintain pricing power throughout 2027, and HBM prices are expected to rise significantly. The final configuration will depend on the wafer allocation decisions of memory suppliers.

hot_img TrendForce: AI demand drives Japanese and Korean MLCC suppliers to achieve the highest shipments in June in five years, with consumer-grade order overflow boosting prices from Taiwanese and Chinese manufacturers

According to the latest survey by TrendForce, in June, the top three MLCC suppliers in Japan and South Korea (Murata, Samsung Electro-Mechanics, Taiyo Yuden) achieved a monthly shipment volume that reached a nearly five-year high, with 140 billion, 98 billion, and 40 billion units respectively, and the growth momentum continued into July. AI applications are the main driving force, with CSP manufacturers maintaining strong procurement demand for self-developed ASIC platforms such as Google TPU and AWS Trainium, driving continuous growth in demand for high-capacity, low-voltage, small-sized MLCCs.At the same time, Japanese and South Korean suppliers are accelerating the shift of production capacity from consumer-grade X5R to high-end X6S/X7R specifications, resulting in a severe squeeze on the production capacity of mid-to-high capacity (1µF-22µF) consumer-grade MLCCs, with mainstream inventory days generally falling below 30 days. The overflow effect of production capacity has led channels, agents, and second- and third-tier customers to urgently pull goods, significantly increasing order visibility for Taiwanese and mainland suppliers, leading to rising prices, with agents raising prices by an average of 20-25%, and spot market prices have soared to 2-3 times the original price. TrendForce pointed out that the consumer-grade MLCC market currently shows a structural mismatch of "weak end demand, strong channel pricing."
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