AI chip

Reports say China could permit its major technology companies to purchase new Nvidia chips, a shift in its stance on the US chipmaker's products. The move would matter for both Chinese AI development and Nvidia's access to a key market, though details on which chips and under what conditions remain unclear.

According to The Information, China is considering allowing ByteDance and Alibaba to purchase new Nvidia chips, a potential easing of restrictions on access to advanced US semiconductors. The news is drawing attention as it could signal a shift in the tech trade standoff between Washington and Beijing, with major implications for Chinese AI development and Nvidia's business.

Chipmaker Advanced Micro Devices has agreed to acquire World Labs, the artificial intelligence startup founded by AI pioneer Fei-Fei Li, in a deal valued at $8.2 billion. The acquisition marks a major move by AMD to expand beyond chips into AI technology, and news of the agreement with the company led by one of the field's most prominent researchers is drawing wide attention in business and tech circles.

TSMC is increasingly dictating pricing across the AI chip industry, as the Taiwanese foundry remains the dominant manufacturer of advanced chips for companies like Nvidia, AMD and countless AI startups. With demand for leading-edge fabrication capacity outstripping supply, TSMC's pricing power shapes costs and margins across the entire AI hardware ecosystem.

Nvidia is reportedly pushing into glass substrate packaging for its chips, a manufacturing shift that could improve performance and density in future AI processors as traditional organic packaging approaches physical limits. The report, picked up by 24/7 Wall St., suggests the move could reshape how advanced AI chips are built across the semiconductor industry. Details on timing and suppliers remain sparse.

Major technology companies are rapidly expanding their use of guarantees to back debt financing for AI datacentres and chips, issuing up to $300bn in commitments in under a year while recording little of that exposure on their balance sheets. The practice is drawing scrutiny because it keeps large contingent liabilities off the books, echoing concerns about hidden leverage building up across the AI infrastructure boom.

Nvidia has unveiled a new security platform designed to prevent AI agents from acting unpredictably or beyond their intended instructions. The announcement, reported by wire outlets, addresses growing concerns that autonomous AI systems operating in businesses could take unintended actions. It signals Nvidia's push to supply not just AI chips but also safety and control tools for enterprises deploying agentic AI.

A filing shows ByteDance gained access to more than 2,000 Nvidia B200 chips through Nscale's data center in Norway, despite US export controls restricting advanced AI chips to China. A Singaporean subsidiary, Spring, reportedly contributed 73% of the UK neocloud's 2025 revenue. The arrangement raises fresh questions about how restricted hardware reaches Chinese firms indirectly.

China is reportedly considering allowing imports of NVIDIA GPUs as it seeks to accelerate its artificial intelligence development. The report, carried by South Korean outlet Chosun Ilbo, suggests a possible shift in Beijing's approach to securing advanced chips for its AI sector. Further details on the scope or timing of any decision have not been confirmed.

Nvidia is pushing a watchdog chip designed to sit alongside every AI agent, supervising its actions and intervening when behaviour goes wrong. The announcement, reported by CNBC, signals Nvidia's effort to make autonomous AI systems safer and more accountable as they spread through enterprise software. Discussion is focused on whether dedicated oversight hardware is a genuine safety breakthrough or a way for Nvidia to sell more chips.

Nvidia wants to build a watchdog function directly into its chips to keep AI agents on a short leash. The feature would monitor and control the actions of autonomous AI systems running on Nvidia hardware, limiting what they can do without oversight. It signals Nvidia's push to make safety enforcement a hardware-level feature as AI agents move into wider commercial use.

AMD has acquired World Labs, an artificial intelligence startup, in a deal valued at 8.2 billion dollars. The purchase signals AMD's continued push to expand its AI capabilities beyond chips, though details about the transaction terms and strategic plans remain limited. The size of the deal makes it one of the larger AI acquisitions of the period.

Reports indicate China may permit ByteDance and Alibaba to purchase Nvidia's RTX PRO 5500 chips, a possible easing of restrictions on access to advanced Nvidia hardware. The news drew attention because it concerns which Chinese tech giants can obtain powerful AI-capable chips amid ongoing US-China tensions over semiconductor export controls. Details on timing and conditions of any approval were not provided.

Memory marketplace BuySellRam has compared twenty forecasts published over the past year on when the shortage of DRAM and NAND chips will end. It finds predictions vary widely, shaped by AI-driven demand, wafer capacity constraints, new fab construction and shifts in memory technology, leaving the duration of supply constraints highly uncertain.

Synopsys has introduced AgentEngineer, an Autopilot-style platform that uses AI agents to carry out chip development tasks autonomously. The company says the technology is expected to reach general availability by the end of 2026, marking a push to automate parts of the traditionally labor-intensive chip design process.

Chipmaker Cerebras has agreed to supply 100 megawatts worth of AI chips to Gimlet Labs, a cloud startup building AI infrastructure. The deal marks a major scale-up for Cerebras, whose wafer-scale chips compete with GPUs for AI workloads, and signals growing demand among emerging cloud providers for alternative AI computing hardware.

Southeast Asia is turning to small modular reactors as demand for reliable electricity surges alongside its growing semiconductor and artificial intelligence industries. Thailand is among the countries weighing the technology, with chip manufacturing requiring stable power supplies that renewable sources alone have struggled to guarantee, prompting a regional rethink on nuclear energy.

Nvidia has brought together a group of partners including Anthropic and Arm for an AI security platform. The initiative suggests Nvidia is positioning itself at the centre of safety and security standards for artificial intelligence infrastructure, working alongside leading AI and chip companies. Details on the platform's scope and rollout were not immediately available.

Nvidia has expanded its stock buyback authorization by $150 billion, described as the largest addition ever to a share repurchase program. The announcement signals the chipmaker's confidence in its continued cash generation from the AI boom, and adds to the tens of billions it has already spent repurchasing its own shares.

The Chips Joint Undertaking has opened calls worth €80 million to advance European AI computing capabilities. The funding aims to strengthen the EU's semiconductor and AI hardware base, supporting research and innovation in chips designed for artificial intelligence workloads as Europe seeks greater technological autonomy.

AMD is reported to be acquiring World Labs, the spatial intelligence AI startup founded by Stanford professor Fei-Fei Li, in a deal valued at $8.2 billion. The reported acquisition would mark one of the largest AI company purchases to date and deepen AMD's push into artificial intelligence beyond chips. Details on timing and terms have not yet been confirmed by either company.

Chinese regulators may approve Alibaba's purchase of Nvidia RTX chips, according to a report by The Information picked up by Bloomberg. The potential approval would mark a notable shift in China's stance on Nvidia products amid ongoing US-China tensions over semiconductor exports. The report was among the most-read business stories globally.