TSMC news
The latest TSMC news, : TSMC’s Arizona plant consumes nearly 5 million gallons of water daily.
TSMC is a semiconductor manufacturer whose production outlook for 2027 AI demand is closely monitored by Nvidia and Broadcom. Recent coverage highlights the company's central role in the AI chip supply chain, alongside broader market volatility driven by inflation fears and financing concerns for AI infrastructure.
28 stories mentioning TSMC since 14 September 2026, newest first, each with its sources and discussion. Follow to see new ones on your front page.
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TSMC’s Arizona plant consumes nearly 5 million gallons of water daily
TSMC’s new semiconductor foundry in Phoenix uses nearly 5 million gallons of water each day, drawing from Phoenix’s municipal supply. The plant is part of a $265 billion investment that has created more than 3,500 jobs…
1 sourceThe Verge AI -
TSMC may raise advanced packaging prices by 10%-20%, report says
Taiwan Semiconductor Manufacturing Co. (TSMC) is reportedly preparing to increase prices for its Chip on Wafer on Substrate (CoWoS) advanced packaging process by 10% to 20%. According to a report by Taiwan's China…
1 sourcefinance.yahoo.com -
Nvidia and TSMC both hit records but stocks fall amid supply risks
Nvidia and TSMC posted record quarters in October, yet both stocks dropped: Nvidia fell 4.03% and TSMC lost 5.82%. Nvidia’s revenue hit $96.22 billion, up 105.8% year-over-year, with networking revenue at $40.31…
7 sources247wallst.comfinance.yahoo.comfool.comseekingalpha.com +1 more -
Intel says AI demand outpaces wafer capacity, can only double output
Intel’s leadership, including CTO Pushkar Ranade, warned that AI compute has been growing three‑times per year for the past decade and that the company could at most double its leading‑edge wafer production with the…
1 sourcedwarkesh.com -
NVIDIA launches RTX Spark AI laptops with N1X chip and up to 128GB unified memory
NVIDIA has introduced RTX Spark, a new generation of slim Windows laptops designed for AI workloads, gaming, and content creation, featuring the custom N1X system-on-a-chip. The laptops offer up to 128GB of unified…
3 sources primary sourceme.pcmag.comengineering.comNVIDIA Blog -
SF Compute enables programmable GPU compute markets with physical settlement
SF Compute, led by CEO Evan Conrad, is building a programmable marketplace for GPU compute that goes beyond simple spot pricing. The company treats GPU capacity like a commodity, using physical settlement – actually…
1 sourceLatent Space -
Samsung expands memory chip fabs in Pyeongtaek amid AI boom
Samsung is building a massive semiconductor complex in Pyeongtaek, South Korea, to meet the rising demand for memory chips that power generative‑AI GPUs. Three fabs already run around the clock, a fourth has just come…
1 sourceMIT Technology Review AI -
[October 2026] Why did semiconductor and AI-related stocks plummet? 3 reasons for the decline and future outlook | Will Nvidia recover?
The Philadelphia Semiconductor Index (SOX) closed at 11,137.29 on Oct. 16, 2026, a 15.7% drop from 13,217.82 on Oct. 6 – the longest eight‑day decline since Oct. 2008. The semiconductor ETF (SOXX) fell from $589.45 to…
2 sourcesaol.comnote.com -
Microsoft could make Maia 300 its primary inference engine with 2.5x memory bandwidth
Microsoft announced that its upcoming Maia 300 accelerator will become the main inference engine for Azure, targeting multi‑gigawatt deployments beginning in 2027. The chip swaps a modest 36% compute gain for 2.5x the…
2 sourcesfinance.yahoo.com -
Taiwan plans up to $4B Texas industrial park for AI hardware suppliers
Taiwan’s Economy Minister Kung Ming-hsin announced plans to build several industrial parks in the United States to support AI hardware manufacturers. Bloomberg reported that the first complex will be located in Texas,…
1 sourcecoincentral.com -
AI-linked stocks fall 8% as US inflation fears rise
Global markets saw sharp declines in AI-linked shares on October 14–15, 2026, after US inflation hit 3.7% in September—its highest in three years since a 4.2% peak in May. The sell-off triggered circuit breakers in…
2 sourcesCNBC TechnologyThe Guardian AI -
Nvidia, AMD and Micron shares fall as AI financing concerns weigh on chip stocks
Nvidia, AMD and Micron shares declined in premarket or regular trading as investors questioned the financing of AI infrastructure amid worries over indebted AI companies like CoreWeave. The selloff occurred despite…
5 sourcesaol.comnote.comfinance.yahoo.cominvezz.com -
ASML says 2027-2028 chip tool output will fall short of AI demand
ASML reported third-quarter 2026 net sales of €11.7 billion and net income of €5.0 billion, with CEO Christophe Fouquet stating that planned chipmaking tool supply for 2027 and 2028 will not fully meet customer demand…
4 sources HN 168finance.yahoo.comTom's HardwareUnite.AIreuters.com -
Microsoft unveils Azure Maia 300 chip for 40% more tokens per megawatt in 2027 deployments
{'Microsoft announced its third-generation Azure Maia 300 AI accelerator, set for production in 2027, targeting multi-gigawatt deployments. The chip aims to deliver 40% more tokens per megawatt than leading GPU-based…
12 sources primary source HN 7fool.comaol.compulse2.comnote.com +5 more -
Etched in early talks to raise $40B-$50B valuation
Etched, an AI inference‑chip startup, is reportedly in early talks to raise funding at a $40B-$50B valuation, up from its $21B valuation in August. The company has already raised $700 million in September at a $21…
1 sourcetechcrunch.com -
Nvidia and Broadcom await TSMC's October 15 outlook for 2027 AI demand
Nvidia and Broadcom are both positioned to benefit from strong AI demand, with Nvidia's Data Center revenue reaching $89 billion last quarter and Broadcom forecasting $115 billion in AI semiconductor revenue for fiscal…
3 sourcesfool.com247wallst.comfinance.yahoo.com -
Musk, Huang warn China may close lithography gap by 2030
Elon Musk and Jensen Huang warned that China could significantly narrow its advanced lithography gap by 2030, creating long-term uncertainty for the AI chip supply chain. This assessment coincides with ASML’s plans to…
1 sourcedigitimes.com -
NVIDIA’s early support from Sega saved its GPU tech for AI
NVIDIA’s survival in the early 2000s hinged on a $5 million lifeline from Sega after the gaming company abandoned their joint GPU project. CEO Jensen Huang prioritized Sega’s success, proposing cancellation to avoid…
1 sourcenote.com -
TSMC manufactures NVIDIA and Apple’s AI chips via foundry model
TSMC, a Taiwanese semiconductor manufacturer, specializes in producing chips designed by other companies like NVIDIA and Apple under a pure-play foundry model. Unlike chipmakers that design and sell their own products,…
3 sourcesfool.comnote.com -
ASML’s EUV monopoly powers Nvidia’s AI chip demand
ASML, a Dutch company based in Veldhoven, dominates the market for extreme ultraviolet (EUV) lithography machines, which are essential for manufacturing advanced AI chips like those made by Nvidia. The company holds an…
2 sourcesirishtimes.comft.com -
Synopsys and TSMC expand AI design collaborations to A14 and co-packaged optics
Synopsys announced on September 23, 2026 a series of joint efforts with TSMC to speed up AI, high‑performance computing and advanced semiconductor development. The collaboration adds certified electronic design…
1 sourceUnite.AI -
Qualcomm launches two Snapdragon 8 Elite Gen 6 chips built for on-device agentic AI
Qualcomm announced two flagship smartphone processors, the Snapdragon 8 Elite Gen 6 and the Snapdragon 8 Elite Extreme Gen 6, both built on a 2-nanometer process. The chips feature custom Oryon CPUs, rearchitected…
4 sourcesdigitaltrends.comCNBC TechnologyTechCrunch AIUnite.AI -
Kurnal Insights says DRAM per‑area price exceeds TSMC N2/N3 wafer price
Kurnal Insights observes that a 300‑mm wafer processed with TSMC's N3 technology is priced at $20,000, which works out to about $0.283 per mm², while an N2 wafer is assumed to cost $30,000 or $0.424 per mm². These…
1 sourceTom's Hardware -
Jeff Dean says automation could cut chip design teams to ten and cycles to three months
He said a team of about ten engineers could create a new custom chip in three months, compared with the traditional approach of roughly 150 engineers over two years. Dean cited his earlier work, including a Nature…
1 sourcewccftech.com -
Nvidia's RTX 60 GPUs might not launch until 2028, leaker says
Hardware leaker Kopite7Kimi posted on X that Nvidia's upcoming RTX 60 series, built on the Rubin architecture, may not be released until at least 2028. The leaker previously thought a new generation could appear in…
1 sourceTom's Hardware -
AMD may raise prices about 10% across GPUs, chipsets, possibly CPUs, report says
Industry sources say AMD is preparing to lift prices by roughly 10% on most of its product lines, including graphics cards, motherboard chipsets and potentially its CPUs. The move is attributed to higher wafer costs…
1 sourcetechpowerup.com -
MediaTek launches 2nm Dimensity 9600 Pro with 61% lower multi-core power
MediaTek has unveiled the Dimensity 9600 Pro, a flagship smartphone system-on-chip built on TSMC’s 2nm process node. The announcement marks MediaTek as the first company to publicly reveal a commercial chip on this…
1 sourceUnite.AI -
ASML Sees Up to 110 EUV Machines in 2028 Amid Strong AI Demand
ASML, a leading supplier of extreme-ultraviolet (EUV) lithography machines for chip manufacturing, is planning to produce up to 110 such machines by 2028. This comes as JPMorgan highlights 'very very strong' demand for…
2 sources247wallst.comfinance.yahoo.com
Questions about TSMC
What is the latest TSMC news?
As of 29 October 2026: TSMC’s Arizona plant consumes nearly 5 million gallons of water daily. TSMC’s new semiconductor foundry in Phoenix uses nearly 5 million gallons of water each day, drawing from Phoenix’s municipal supply.
What is TSMC?
TSMC is a semiconductor manufacturer whose production outlook for 2027 AI demand is closely monitored by Nvidia and Broadcom. Recent coverage highlights the company's central role in the AI chip supply chain, alongside broader market volatility driven by inflation fears and financing concerns for AI infrastructure.