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Progress (3 minute read)

TLDR AI · yesterday Cached

Etched announces breakthroughs in low voltage inference and cluster scale memory for their AI inference hardware, with first racks shipping this summer and $1B in customer contracts.

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TSMC is accelerating Arizona factory build-out to capitalize on AI ‘megatrend,' CFO says (5 minute read)

TLDR AI · 2d ago Cached

TSMC CFO says the company is accelerating its Arizona factory build-out with an additional $100 billion investment to meet surging AI-driven demand, raising total U.S. investment to $265 billion.

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The Growing Compute Shortage

Hacker News Top · 2026-07-16 Cached

The article examines the growing compute shortage in AI, highlighting simultaneous bottlenecks across GPUs, memory, TSMC capacity, and power infrastructure, and how this scarcity is reshaping corporate strategy and market leadership.

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Meta’s new AI chips will begin production in September

TechCrunch AI · 2026-07-09 Cached

Meta's custom AI chips (MTIA) will begin production in September, aiming to reduce GPU costs. The chips are designed with Broadcom and manufactured by TSMC, part of Meta's strategy to secure compute capacity while still purchasing from Nvidia and AMD.

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Google in talks with Samsung to make part of next-gen chip

Reddit r/singularity · 2026-06-11

Google is in talks with Samsung to manufacture a component of its next-generation AI chip, codenamed Icefish, using 2-nanometer technology, while the main part will be made by TSMC. The chip aims to offer an alternative to Nvidia's GPUs and is expected to enter mass production as soon as 2028.

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TSMC struggles to keep up with AI demand: ‘We can only support so much’

The Verge · 2026-06-04 Cached

TSMC CEO C.C. Wei warned that the company is struggling to meet surging AI-driven chip demand, stating it could take a 'very long time' to fulfill customer needs even with its US factory expansion, including a $165 billion investment in new American plants.

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Taiwan’s Industry Titans Turbocharge World’s AI Infrastructure Buildout With NVIDIA

NVIDIA Blog · 2026-06-01 Cached

Taiwan's manufacturing leaders, including TSMC and Foxconn, are leveraging NVIDIA's accelerated computing and AI technologies to build and optimize AI infrastructure for the upcoming Vera Rubin platform, enhancing efficiency and productivity across the supply chain.

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Energy use forcing rethink of AI chip design, TSMC says

Reddit r/ArtificialInteligence · 2026-05-29 Cached

TSMC's senior VP says energy efficiency is now the primary constraint in AI chip design, surpassing raw computing power. The shift is driving changes in transistor density, advanced packaging, and chip stacking to reduce power consumption.

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@CryptoDoggyCN: Jensen Huang finally responds to Huawei's Tao's Law. The gist: Tao's Law is a breakthrough for Huawei, but TSMC has been deeply involved in the related technology for 10 years. Once, Huawei was also one of Nvidia's big spenders. After the sanctions, from a sweetheart to a bitter rival, Huang explicitly said: We are competitors.

X AI KOLs Timeline · 2026-05-29 Cached

Jensen Huang responds to Huawei's Tao's Law, saying it is a breakthrough for Huawei but TSMC has been deeply involved in the related technology for 10 years, and explicitly stated that Huawei is a competitor.

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Taiwan Overtakes India as World’s 5th Largest Stock Market

Reddit r/ArtificialInteligence · 2026-05-26 Cached

Taiwan's stock market overtook India to become the world's fifth largest, fueled by TSMC's 46% surge and the AI chip boom, adding nearly $2.5 trillion in value.

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@oragnes: Spot on! Tech fund giant Gavin Baker completely dismantles the so-called 'AI bubble' from an extremely sharp perspective. Don't scare people with the 2000 internet crash. Back then, it was crazy debt, with 99% of fiber optics lying idle; today's AI infrastructure is all backed by hard cash flow, with every GPU running at full throttle.

X AI KOLs Timeline · 2026-05-24 Cached

Tech fund giant Gavin Baker analyzes the AI bubble from a unique perspective, arguing that current AI infrastructure is backed by cash flow and GPUs are operating at full capacity, unlike the 2000 internet bubble, and that TSMC's capacity constraints are key to preventing the bubble from collapsing.

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