agentic

According to official news, Marvell Technology announced the launch of a new generation of memory solution portfolio for AI infrastructure, covering server-level AI storage, rack-level CXL memory expansion and pooling, as well as multi-rack optical interconnect shared memory, aimed at addressing the growing memory capacity and bandwidth bottlenecks in Agentic AI inference processes.Marvell stated that as AI model sizes increase, context windows extend, and KV Cache demand grows, traditional tightly coupled architectures of computing and memory are limiting AI inference efficiency. Through memory disaggregation, memory resources can be made more independent of computing resource expansion, improving GPU utilization and reducing data movement latency. The products released include:Bravera SC6 PCIe 6.0 SSD controller: Designed for AI inference storage scenarios, it helps cloud service providers migrate more KV Cache to high-performance SSDs, enhancing infrastructure efficiency. This product features an architecture compatible with multi-vendor NAND and is expected to begin sampling in the fourth quarter of 2026.Marvell Structera X memory expansion solution: Based on CXL technology, it supports rack-level memory expansion and resource pooling, helping data centers share and allocate memory resources more flexibly, reducing AI infrastructure costs.Marvell Photonic Fabric optical interconnect memory solution: Constructs a shared memory architecture across multiple racks using optical interconnect technology, supporting up to 32TB warm KV Cache offloading and helping AI inference clusters enhance throughput capacity.Marvell stated that the Photonic Fabric solution can achieve a 2 to 3 times increase in Token throughput under existing data center space and power consumption constraints, supporting larger scale models and longer context AI applications.Marvell executive Will Chu stated that AI infrastructure is transitioning from a single server architecture to a system where computing, memory, and connectivity operate in synergy, and in the future, memory needs to expand more independently to enhance resource utilization and Token efficiency.As the demand for AI Agents and large model inference continues to grow, memory capacity, bandwidth, and data transfer efficiency are becoming new focal points of competition in AI infrastructure, following computing power.

BSC and 0G ecosystem's largest AI economic infrastructure company NeoSoul announced plans to launch the world's first highly customizable Agentic Trading framework, helping users build AI Agents that can make autonomous decisions and trade independently.As AI capabilities rapidly improve, more and more traders are beginning to use Agents to assist in trading. However, currently, building a trading Agent that can operate stably over the long term still presents a high barrier to entry. NeoSoul hopes to lower the threshold for users to utilize autonomous trading Agents through its innovative Agent trading framework.NeoSoul chooses to focus on Trading because the financial market is the most direct scenario to test the capabilities of AI Agents. Compared to traditional AI applications that mainly provide information and advice, trading Agents need to continuously make judgments in a real environment and be validated by the market.NeoSoul's Agentic Trading Framework primarily addresses the following issues:Helping users create and customize their own AI trading AgentsOrdinary users who want to participate in AI trading often face technical and strategic barriers. NeoSoul allows users to create trading Agents that align with their goals without starting from scratch, and to accumulate professional trading experience and strategies through skills.Enabling users to determine whether the Agent truly possesses trading capabilitiesCreating an Agent is just the first step. Users also need to understand whether the Agent can consistently execute strategies and manage risks. NeoSoul provides verifiable performance records, allowing users to review the Agent's decision-making process and trading results.Allowing users to manage autonomous trading permissions more effectivelyWhen it comes to asset management, permission control is crucial. NeoSoul supports users in setting Agent permissions and understanding trading behavior in real-time.NeoSoul co-founder Kaelan stated:"AI Agents are moving from providing answers to participating in real economic activities. Trading is one of the most natural scenarios for Agents to enter economic activities, as each decision results in a clear outcome. NeoSoul hopes to help traders create operational AI Agents, enabling more strategies to be executed continuously."In the future, NeoSoul will continue to improve the Agentic Trading ecosystem, allowing more users to use AI Agents to participate in the global financial market.

Gate US officially announced that Gate AI and Alpaca will collaborate on the development vision of Agentic Trading, promoting the integration of AI infrastructure and trading system capabilities to provide underlying support for the next generation of intelligent trading applications.Alpaca has built a trading API that is developer and AI Agent friendly, with its community continuously transforming trading ideas into actual projects, covering research processes, simulated trading systems, and Agentic workflows that connect market data, analysis, and execution logic. Gate AI focuses on building an infrastructure layer for AI Agents and developers, where the GateRouter unified API helps developers quickly access over 25 mainstream AI models and balances cost and performance through intelligent routing.Both Gate AI and Alpaca agree that AI trading Agent developers should not have to choose between high-quality trading execution infrastructure and AI infrastructure, but should be able to obtain support for both in a smoother manner. Next, Gate AI will explore how its model routing and Agent infrastructure can connect to trading workflows built on APIs like Alpaca, supporting developers in integrating market data, AI reasoning, and trading execution into Agentic systems.Gate AI and Alpaca also plan to promote knowledge sharing and best practice exchanges between their developer communities, continuously lowering the development threshold and complexity of AI-native trading applications. Gate AI and Alpaca will continue to explore collaborative efforts around the construction of the Agentic Trading ecosystem, providing foundational support for developers to build more efficient and scalable next-generation intelligent trading applications.

During the 2026 New York Tech Week, Zack Anderson, Chief Data and Analytics Officer of J.P. Morgan Payments, shared the latest applications and strategic outlook of AI in payment infrastructure at a seminar. He stated that the application of AI in the banking industry is becoming increasingly mature, with most AI agents currently operating invisibly in the background, significantly enhancing the efficiency of payment flows and risk management capabilities.Anderson pointed out that with the proliferation of Agentic AI, the core challenge facing the payment sector lies in the governance and auditability of "machine authorization" (especially for high-value payments). He emphasized that leveraging AI to handle complex cross-border payment compliance rules is an important opportunity in the near term, which is expected to significantly reduce payment rejection rates. Furthermore, although current corporate AI investments are largely focused on the customer front end, "Agentic Treasury" will be an important early opportunity for the future, and its large-scale application will still rely on further improvement of underlying data and governance infrastructure.

The Trump family's AI infrastructure project WorldClaw and VergeX AI announced a strategic cooperation, with both parties working together to promote the development of next-generation AI-native trading infrastructure and accelerate the construction of the emerging Agentic Trading market.It is reported that VergeX AI will integrate WorldClaw's AI access layer into its Harness-driven autonomous multi-agent trading infrastructure to achieve a more scalable, more accessible, and more cost-efficient professional-grade AI trading system deployment. Currently, VergeX AI is building an autonomous multi-agent trading operating system for the AI-native financial era, with its core Harness architecture serving as the layer for agent collaboration and task orchestration, supporting trading execution across multiple markets including cryptocurrencies, US stocks, foreign exchange, and commodities.In addition, both parties stated that this cooperation aims to lower the barriers to building professional-grade AI trading agents and jointly promote the development of next-generation autonomous financial system infrastructure. The market generally believes that as AI Agents evolve from auxiliary tools to autonomous market participants, autonomous agents, AI-native execution systems, and programmable financial infrastructure are becoming the next trillion-dollar track that the industry is focusing on.

Base's official tweet stated that in the first quarter of this year, the total payment amount of the x402 protocol has exceeded 100 million dollars. Among them, over 90% of the total transactions using stablecoins by on-chain AI agents occurred on the Base network.

Nathan McCauley, co-founder of Anchorage Digital, announced on the X platform the launch of Agentic Banking, aimed at providing compliant and governable funding access for AI systems, covering identity verification, policy control, and settlement capabilities across both crypto and traditional financial systems, allowing AI to directly participate in economic activities within a regulated framework. This system relies on its U.S. federal chartered crypto bank qualification, which can provide a compliant "execution layer" to ensure transactions have permission control, real-time risk control, and auditability.Nathan McCauley further pointed out that the financial system is entering an "autonomous era," where AI is transitioning from a decision-support tool to an entity capable of independently executing tasks, including executing workflows, participating in negotiations, and conducting operations on behalf of organizations. The current financial system is not yet prepared for "non-human participants," lacking an identity system for AI, policy execution mechanisms, and compliant funding access methods, forcing institutions to balance between automation and risk.Previously, Anchorage had partnered with Google Cloud, which will build an "intelligent layer" to support discovery, collaboration, and decision-making among AI agents, while Anchorage is responsible for funding execution and settlement, promoting the cloud integration of institutional-level digital asset infrastructure, consolidating capabilities such as custody, key management, transaction governance, and staking, helping financial institutions embed stablecoins and digital assets into their products.

According to the official announcement, Binance Wallet has launched Agentic Wallet, a dedicated keyless wallet designed for AI agents, allowing users to authorize AI agents to conduct secure transactions, transfers, and asset management under set parameters.Agentic Wallet is independently created under the user's Binance account, providing independent balances, configurable permissions, and real-time monitoring, while being completely isolated from the main wallet. Binance AiPro users have Agentic Wallet Skills built-in by default. To celebrate the launch, Binance Wallet is offering a limited-time Gas sponsorship and zero service fee promotion.

According to PaymentsJournal, stablecoin payment infrastructure provider PhotonPay announced a comprehensive upgrade to its payment capabilities, officially moving towards the new paradigm of Agentic Payments. At the core of this transformation is the shift in finance from "directive" to "intent-centric," enabling AI agents to autonomously plan and execute complex financial pathways.It is reported that PhotonPay has divided its system into three main modules: global network layer, core execution layer, and intelligent decision-making layer. AI agents can automatically complete the entire process of procurement triggers, payment path optimization, dynamic exchange rate optimization, and compliance review based on preset goals, achieving machine-to-machine (M2M) cross-border capital flow, covering over 200 countries and regions, and supporting real-time processing of financial decisions.In terms of market prospects, McKinsey predicts that by 2030, the global Agentic Commerce driven by AI agents will reach a scale of $3 trillion to $5 trillion, which also provides important market endorsement for PhotonPay's strategic layout.

The stablecoin payment infrastructure platform Interlace officially launched a payment solution for AI Agents, completing a key component of trusted payments for autonomous artificial intelligence.Interlace authorizes and verifies the Agent's permissions and payments before transactions using virtual cards and on-chain wallets, enabling trusted execution and secure payments for AI Agents.This solution introduces a natural language-based communication and instruction system for Agents, allowing AI Agents to accurately understand payment requirements such as consumption scenarios, amount limits, and time windows, while integrating risk control models to ensure that each transaction is recordable and traceable. Additionally, the solution supports 24/7 autonomous payments by Agents, covering high-frequency business scenarios such as API calls, computing power procurement, and employment settlements. Interlace stated that it will continue to conduct in-depth research and investment in the future to build a secure, compliant, and efficient payment infrastructure for the AI intelligent economy.

Circle announced that it has joined the Agent ic AI Foundation, planning to promote open standards and interoperable infrastructure for AI Agents. The Agent ic AI Foundation (AAIF) announced the addition of 18 Gold members and 79 Silver members, bringing the total membership to 146, and appointed AWS Director of Developer Experience David Nalley as the Chair of the Governance Committee.

Coinbase has announced the launch of wallet infrastructure for AI Agents called Agentic Wallets, aimed at "providing wallets for any intelligent agent," allowing AI to independently complete on-chain transactions and payments without human intervention.This tool is based on the x402 protocol that Coinbase is developing, allowing AI Agents to autonomously hold funds, send payments, trade tokens, earn yields, and execute on-chain operations, all while incorporating built-in security permissions and risk control mechanisms. Coinbase states that this solution addresses the critical limitations currently faced by AI when it comes to financial operations, enabling it to truly perform economic actions.Agentic Wallets are an upgrade to the previous AgentKit tool, adopting a plug-and-play approach that allows developers to quickly configure tradable wallets for AI Agents. For example, under preset permissions, AI can automatically adjust asset allocations or capture yield opportunities. It is reported that this feature will initially support the EVM ecosystem and Solana, and will enable gas-free transactions on the Base Layer 2 launched by Coinbase.

Google has announced the launch of Agentic Vision------a brand new AI feature in Gemini 3 Flash that transforms image understanding from a static behavior into an active process. By combining visual reasoning with code execution, the model can derive answers based on visual evidence and consistently improves quality by 5-10% across most visual benchmarks.