computer chips

AMD has agreed to an $8.2 billion deal to bring in Fei-Fei Li, the Stanford AI researcher widely known as the 'Godmother of AI'. The move signals AMD's push to compete more aggressively with Nvidia in artificial intelligence chips and computing. Analysts are weighing what the deal means for the AI hardware race.

Citing The Information, reports say China may permit Alibaba and ByteDance to purchase new Nvidia chips, signalling a possible easing of restrictions on US semiconductor sales to major Chinese tech firms. The news highlights the continuing tug-of-war over access to advanced AI hardware, with Chinese companies keen to secure Nvidia's latest processors for their artificial intelligence and cloud computing ambitions.

Data centers, power plants and chip facilities for artificial intelligence are being built across the United States at a pace that could surpass any previous infrastructure boom in the country's history. Analysts point to massive capital commitments from tech companies racing to secure computing power, raising questions about electricity demand, grid strain and whether the investment will pay off.

Reports suggest China could permit Alibaba and ByteDance to purchase Nvidia chips, easing earlier restrictions on access to US-made semiconductors. A green light would be significant for China's cloud computing and artificial intelligence sectors, where demand for Nvidia's hardware remains high, and would mark a notable shift in the technology trade standoff between Washington and Beijing.

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 and Broadcom are drawing divided views from Wall Street analysts over which company is better positioned to win the next phase of the AI chip market. The two semiconductor firms are racing to supply custom and accelerative computing hardware as demand for AI infrastructure surges, and investors are split on which strategy will pay off.

AMD has reached an $8.2 billion deal to acquire World Labs, the spatial intelligence startup founded by Stanford's Fei-Fei Li, often called the 'godmother of AI' for her pioneering work in computer vision. The move signals AMD's push to compete more directly in artificial intelligence beyond chips, and tech and business media are closely watching what Li's team brings to the company.

The Chips Joint Undertaking has launched funding worth €80 million to support the development of AI chips and compute systems in Europe. The call aims to strengthen European capabilities in semiconductor design and computing hardware for artificial intelligence, backing research and innovation projects across the bloc. The move is part of broader efforts to reduce reliance on foreign chip suppliers.

AI companies are increasingly signing 'take or pay' style contracts, a financing model long used in the energy sector, committing them to pay for computing capacity whether or not they use it. CNBC reports the approach carries significant risk: if AI demand slows, firms could be locked into expensive obligations. The model underpins major cloud and chip capacity deals now shaping the industry's finances.

Workers at the Taiwanese factory producing a popular snack treated as a good luck charm in the chip industry have voted 94% in favour of a strike, threatening a production halt. The dispute centres on demands that employees receive a share of a $176 million factory sale to semiconductor firm ASE. The standoff has drawn attention because the snack is a familiar talisman in computing circles.

Google has announced Project Suncatcher, an initiative to test its AI chips in space for the first time. The plan points to putting data-processing hardware aboard satellites, a step that could eventually move parts of AI computing off Earth. The announcement is drawing attention across the tech and semiconductor world, with observers weighing the engineering challenges of running chips in orbit and what it could mean for the future of data centers.

Google is preparing to test its AI chips in space, according to a report carried by The Brussels Times. The move suggests the company is exploring how its custom AI hardware performs outside Earth, though details on the mission, timeline and partners have not been disclosed. Observers of the semiconductor and space industries are watching for what this could mean for satellite computing and data processing in orbit.

China is considering granting approval for ByteDance and Alibaba to purchase Nvidia's new RTX Pro 5500 chips, according to a report by The News International. The move would mark a notable step amid ongoing US-China tensions over advanced semiconductors, as Chinese tech giants seek access to Nvidia hardware for AI and computing work.

AMD has agreed to acquire World Labs, the spatial-intelligence AI startup founded by Stanford professor Fei-Fei Li, in a deal reported at $8.2 billion. The move would put one of the most prominent figures in AI research behind AMD's technology stack as the company pushes to challenge Nvidia in artificial intelligence computing.

Reports indicate China may permit Alibaba and ByteDance to purchase Nvidia's new RTX Pro 5500 chips, a potential easing of restrictions on advanced US semiconductors for Chinese companies. The news matters for Nvidia's China business and for major Chinese tech firms' AI and computing plans, though details on scope and timing remain limited.

Korean chip giants Samsung Electronics and SK Hynix are moving into co-packaged optics (CPO) technology, which links AI semiconductors using optical connections to boost data transfer speeds and energy efficiency. As AI computing demand surges, Korean media describe the shift as a new race in which chips compete 'at the speed of light', alongside global players developing similar interconnect solutions.

Huawei has unveiled its Atlas 960E AI computing system with 4,096 chips, not the 15,488 it previously announced. The discrepancy has raised questions about the company's stated specifications for the system, which is part of Huawei's push to build domestic AI computing power amid US export restrictions on advanced semiconductors.

CoreWeave, the GPU-focused cloud provider, is shifting from capitalising on shortages of AI chips to proving it can build a lasting, sustainable cloud business. Commentary centres on whether the company can convert its early advantage in scarce Nvidia GPUs into durable revenue as competition intensifies and chip supply improves. Analysts are watching its contracts, margins and ability to diversify beyond raw computing power.

An AI system has reportedly designed a fully functional computer chip in just two weeks, with no human involvement, and performed below the required specification. The claim, reported by Startup Fortune, points to a milestone in autonomous chip design, a field where AI tools have so far mainly assisted human engineers rather than replacing them. Details about the company, chip type and verification remain sparse, but the story is drawing attention across the semiconductor industry.

AMD is acquiring Fei-Fei Li's 3D world-modeling startup in a deal valued at US$8.2 billion, with the technology expected to inform the design of the company's future AI chips. The move signals AMD's push to strengthen its position in the AI silicon market against rivals like Nvidia, betting that spatial and world-modeling AI will shape next-generation computing.

Qualcomm is taking on Apple's latest chip in what is shaping up as a renewed battle over mobile and computing silicon. The week also brought news on Apple's front, including a fitness tracker, updated Macs and other product developments. The rivalry matters because Qualcomm's chips increasingly power Windows laptops that compete directly with Apple's Mac lineup, setting up a contest over performance and battery life claims.

The Trump administration has committed more than $5 billion to the Genesis Mission, an initiative targeting cancer research, semiconductor development, and quantum computing. The announcement pairs health research with strategically critical technologies, reflecting a push to accelerate American leadership in chips and advanced computing while funding cancer-focused science.

Nvidia is holding discussions with insurers about them taking on lending risks tied to its chips, according to MarketScreener. The talks would let lenders finance chip purchases with insurance covering potential losses, an approach that reflects the enormous sums now tied up in AI computing hardware. Details of the negotiations, the insurers involved and the likelihood of a deal have not been disclosed.

Google is reportedly preparing to launch AI chips into orbit, an effort that would place its semiconductor hardware on satellites in space. Details beyond the announcement remain sparse, but the idea points to computing infrastructure moving off Earth, potentially for data processing and connectivity in orbit. Observers are watching to see how the company plans to deploy and operate chips in the harsh space environment.

Google plans to test its AI chips aboard satellites in orbit under a project called Suncatcher, according to a report in The Daily Star. The initiative suggests the company is exploring whether space-based hardware could help run artificial intelligence workloads. Details on timing, partners and the scale of the orbital tests have not yet been made clear.

China is reportedly pursuing a 'hiding capabilities' strategy in artificial intelligence, built around NVIDIA GPUs. The approach suggests Chinese AI developers may be concealing the true extent of their computing power and model performance, likely to manage perceptions abroad and avoid triggering tighter export controls. The claim is circulating in international coverage of the US-China semiconductor rivalry.

Barron's reports that SpaceX is purchasing a significant number of Nvidia AI chips, tying Elon Musk's space company to the booming demand for artificial intelligence computing hardware. The report follows widespread interest in how much AI compute Musk's ventures are securing, as Nvidia's GPUs remain the most sought-after chips in the industry. Investors are watching Nvidia's stock closely as major buyers like SpaceX add to already heavy demand.

Google has announced Project Suncatcher, an initiative to launch a prototype satellite designed to test the performance of AI chips in orbit. The company is exploring whether data centres could eventually operate in space, taking advantage of continuous solar power while avoiding land and cooling constraints on Earth. The project puts Google in competition with other tech firms weighing space-based computing.

Cerebras Systems will supply its CS-4 chips to support Gimlet's AI inference cloud infrastructure. The deal places the wafer-scale computing specialist's hardware at the core of a dedicated cloud service for running AI models, underscoring growing competition with GPU-based providers in the inference market.

French photonic quantum computing company Quandela is looking to partner with Korean firms to manufacture its photonic quantum chips. The move would tie Quandela's quantum photonics technology to South Korea's semiconductor manufacturing base, potentially speeding up production of its quantum processors. Details on specific partners, timelines, or investment amounts were not disclosed, leaving the scope of the collaboration uncertain.

Microsoft plans to rely more heavily on its own in-house developed AI chips, reducing its dependence on Nvidia's processors for its data centres and artificial intelligence services. The move is part of a broader effort among major cloud providers to cut costs and secure supply as demand for AI computing capacity surges.

SpaceX is seeking $40 billion in financing led by Apollo Global Management, according to a Financial Times report carried by Reuters, to fund purchases of Nvidia chips. The move underscores the enormous capital costs of Elon Musk's artificial intelligence ambitions and would rank among the largest private financing deals ever arranged, drawing attention from investors tracking AI infrastructure spending.