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Micron's Sold-Out HBM Capacity Creates June 24 Catalyst
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June 15, 2026
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A Market Analysis highlights that Micron Technology Inc has sold out its HBM capacity and identifies June 24 as a make-or-break catalyst. The analysis also covers
2026-06-16
www.tradingkey.com
2026-06-16
TradingKey
Qualcomm Inc (QCOM) moved up by 4.27%. The Technology Equipment sector is up by 3.67%. The company outperformed the industry. Top 3 stocks by turnover in the sector: Micron Technology Inc (MU) up 9.75%; NVIDIA Corp (NVDA) up 3.28%; SanDisk Corporation (SNDK) up 6.23%.
Qualcomm (QCOM) experienced a notable upward movement, driven by a confluence of positive analyst sentiment, anticipation of strat
2026-06-16
tomshardware.com
2026-06-16
Jowi Morales
Local governments demand more time to study how they can manage the impacts of huge data center projects.
2026-06-16
mexicobusiness.news
2026-06-16
Mexico Business News
Nvidia is preparing a US$20 billion corporate bond issuance, marking its first investment-grade debt offering in five years. The transaction reflects growing capital requirements across the AI ecosystem and highlights how leading technology companies are using debt markets to finance infrastructure, product development, and balance sheet management.
Nvidia plans to raise US$20 billion through a U
2026-06-16
news.google.com
2026-06-16
Stock Titan
2026-06-16
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2026-06-16
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Google's Samsung Talks Highlight TSMC Capacity Crunch
Google's Samsung Talks Highlight TSMC Capacity Crunch
Less than 1 min read
GOOG
+2.61%
Alphabet (GOOG, Financials) may be looking beyond Taiwan Semiconductor Manufacturing for part of its future AI chip production, and that says a lot about how tight the market has become.
Google is reportedly in talks with Samsung to make
2026-06-16
wccftech.com
2026-06-16
Wccftech
Memory manufacturer Micron could benefit from high DRAM and HBM prices in 2026 and 2027, believes financial firm Aletheia Capital. Micron, like SK hynix and Samsung, has benefited from the strong demand for AI chips in the current buildout as memory production constraints have pushed prices up. The financial firm believes that the value of memory chips in the AI ecosystem will become the most impo
2026-06-16
www.ad-hoc-news.de
2026-06-16
AD HOC NEWS
TSMC, TW0002330008
AI packaging push: how TSMC’s CoWoS advanced packaging is scaling for the next wave
15.06.2026 - 19:54:24 | ad-hoc-news.de
TSMC’s CoWoS advanced packaging platform is at the center of the AI accelerator boom. Capacity for the 2.5D chip-on-wafer-on-substrate technology is ramping hard, with the foundry targeting well over 100,000 wafers per month as hyperscaler demand keeps clim
2026-06-16
www.indexbox.io
2026-06-16
IndexBox
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2026-06-16
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US-based AI company, Tensordyne, has announced the successful tape-out of its Napier chip, which it claims to demolish NVIDIA's Blackwell & Rubin chips with leading token throughput and efficiency.
The Napier chip will be the core component of the Tensordyne Napier TDN system, which is designed in collaboration with Broadcom and HPE Juniper Networks. The Napier platform has one goal: to unify AI
2026-06-16
www.thurrott.com
2026-06-16
Thurrott.com
The Samsung Galaxy Book6 Series of laptops that launched earlier this year with Intel’s Core Ultra Series 3 CPUs is welcoming a new Qualcomm-powered model, the Galaxy Book6 Edge. The 16-inch laptop is powered by a Snapdragon X2 Elite chip, and it also offers 16GB of memory and 1TB of storage for $2,099.99.
The Galaxy Book6 Edge is the successor to the Galaxy Book4 Edge from 2024, which used Qualc
2026-06-16
www.hometownsource.com
2026-06-16
hometownsource.com
The University of Minnesota Twin Cities, in collaboration with Polar Semiconductor and Honeywell Aerospace, is establishing a first-of-its-kind academic-industry Spin Technology Center to advance the state’s growing microelectronics and semiconductor industry.
The $5.7 million project has been awarded $2.83 million from the Minnesota Forward Fund administered by the Minnesota Department of Employ
2026-06-16
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2026-06-16
GuruFocus
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2026-06-16
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NVIDIA Corp logo outside building-by BING-JHEN_HONG via iStock
Nvidia (NVDA) has announced a six-year strategic compute collaboration with SharonAI (SHAZ), a neocloud company focused on high-performance computing and artificial intelligence (AI) infrastructure.
The deal will enable 72 MW of new data center capacity in Australia, deploying NVDA’s DSX AI factory design and scaling up to 40,000 GB3
2026-06-16
www.tradingkey.com
2026-06-16
TradingKey
2026-06-16
mashable.com
2026-06-16
Mashable
The RTX Spark laptop platform is a big deal for AI developers and power users working with giant models on Windows, but its impact on the PC market will be longer-term. PCMag's John Burek explains.
Related Stories
Nvidia RTX Spark: Here's why creators should care
Apple reportedly turning to Nvidia chips for Gemini-powered Siri
What we learned at Microsoft Build: Autopilots, MAI-Thinking-1, and Nv
2026-06-16
wccftech.com
2026-06-16
Wccftech
The compact space inside smartphones makes it difficult to adopt High Bandwidth Memory (HBM), not to mention the thermal problem, but a rumor claims that Chinese smartphone brands have a custom-made Low Latency Wide DRAM (LLW) that adopts a similar integrated design as the aforementioned technology. While the design isn’t “true HBM,” it aims to resolve the performance bottleneck issue that LPDDR R
2026-06-16
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2026-06-16
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2026-06-16
www.proactiveinvestors.com
2026-06-16
Proactive financial news
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Tower Semiconductor shares jump on IQE supply deal
Published: 12:59 15 Jun 2026 EDT
Tower Semiconductor (NASDAQ:TSEM) shares surged nearly 9% after the company signed a multi-year indium phosphide epiwafer supply agreement with IQE, targeting the fast-growing AI data center optical connecti
2026-06-16
developer.nvidia.com
2026-06-16
NVIDIA Developer
Mixture-of-experts (MoE) models have quickly become a foundational component of modern, large-scale AI systems. They are widely adopted because they enable substantially larger model capacity while activating only a subset of parameters for each token, offering an unparalleled approach for scaling performance within a practical compute budget. As model scales continue to grow, the optimization of