AI memory chipmakers

GlobalFoundries is relaunching its FD-SOI technology under the FDX Fusion banner, aiming at low-power edge AI chips that combine compute, RF, memory, and sensing on a single die rather than competing on raw speed. The move positions the chipmaker to serve the fast-growing edge AI market, where energy efficiency and integrated radio functions matter more than peak performance.

Samsung plans to adopt TSMC technology for producing next-generation memory chips for Nvidia, according to a report by a Seoul newspaper picked up by Reuters. The unusual move would see the Korean chipmaker rely on its Taiwanese rival's process technology, underlining the depth of cooperation in the semiconductor supply chain as demand for advanced memory used in AI accelerators surges.

Samsung plans to adopt TSMC technology for Nvidia's next-generation memory chips, according to a report by a Seoul newspaper carried by CNA. The move would mark a notable cooperation between the two rival chipmakers at a time when demand for advanced memory for AI computing is surging and Nvidia's chip roadmap is closely watched by the industry.

Samsung plans to use TSMC technology in producing memory chips for Nvidia, according to a report. The move would see Samsung, one of the world's largest chipmakers, rely on its chief Taiwanese rival's process technology to supply the AI chip giant — a notable shift in the competitive semiconductor landscape.

Unions at Micron Taiwan are holding a strike vote after negotiations over profit-sharing and stock-based compensation transparency broke down. The move is fueled by record AI memory industry profits, which workers say should be shared more fairly. It follows labor unrest at Samsung and SK Hynix, suggesting that long-standing assumptions about quiet semiconductor workforces in Asia are eroding as the AI boom drives record revenues.

Investors are asking whether SK Hynix, the South Korean memory chipmaker, can sustain its growth into 2027 as the semiconductor upcycle extends. The company has benefited from surging demand tied to artificial intelligence, and market watchers are debating whether memory prices and orders will stay strong long enough to fuel another multi-year boom.

Samsung will use TSMC's 3nm process to manufacture memory chips for Nvidia's next-generation AI products, according to a report carried by The News International. The arrangement would see two of the world's largest chipmakers working side by side on Nvidia's supply chain, a notable shift given their fierce rivalry in advanced foundry technology. Details on volumes, timing or which specific memory products are involved were not given.

A new report says Samsung plans to use TSMC technology to produce custom memory chips for Nvidia. The move would pair the world's two leading chipmakers on Nvidia's tailored memory products, a notable shift given their usual rivalry in advanced semiconductor manufacturing. Details of the arrangement, including timing and volumes, were not disclosed, and neither Samsung, TSMC nor Nvidia has confirmed the report.

Investors are watching Micron Technology shares after a recent decline, with market commentators characterising the drop as a pause within a broader uptrend rather than the start of a reversal. The stock has been one of the stronger performers tied to memory chip demand and AI-related hardware spending, so its price moves are drawing close attention from traders tracking the semiconductor sector.

Samsung will reportedly use TSMC's technology to produce next-generation memory chips for Nvidia, according to a report carried by The Edge Malaysia. The arrangement would mark an unusual instance of Samsung manufacturing parts based on its rival's process technology, underscoring how tightly capacity and advanced nodes are stretched as demand for AI chips accelerates.

Industry observers say humanoid robots could become the next major source of demand for memory chips, following smartphones, PCs, data centers and AI hardware. Robots would need substantial memory for sensors, onboard computing and real-time decision making, giving chipmakers a potential new growth market as traditional demand matures. The idea is drawing attention among semiconductor companies and analysts weighing where future volume growth will come from.

Investors are weighing Applied Materials against SK Hynix as top technology picks for 2026. The comparison pits the US semiconductor equipment maker against the South Korean memory chip giant, with analysts weighing exposure to chipmaking tool demand against the memory market cycle. Debate centers on which company offers stronger growth and valuation heading into the new year.

Yahoo Finance is reporting on why Elon Musk has taken a favorable view of Micron Technology. The piece ties the Tesla and SpaceX chief executive's interest to the memory chip maker, though no further details are available from the headline. Investors watching Musk's public signals often track his comments for clues about semiconductor demand, particularly around AI and data center hardware.

Memory demand from the humanoid robot industry is projected to grow roughly twenty-fold by 2030, as manufacturers scale up production of robots that require significant DRAM for sensors, AI processing and real-time control. The forecast points to a new growth market for chipmakers already navigating the AI-driven memory boom, with South Korean media highlighting potential implications for major memory suppliers.

Talk among traders centres on Micron Technology's stock price, with a claim that the next price target sits below $1,000. The comment reflects bullish sentiment around the memory chipmaker's share value, which has climbed sharply on strong demand for its memory products. No further detail or confirmed targets accompany the claim, and it remains speculation rather than an official company forecast.

Micron has made a statement that, according to financial coverage, could change how investors view the company's stock. The specifics of the remark were not detailed, but it comes as the memory chipmaker remains closely watched amid ongoing demand tied to AI data centers and memory pricing. Investors and analysts are weighing the implications for Micron's outlook.