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Nvidia Completes $5 Billion Intel Share Purchase Under September Deal

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Nvidia has finalized the purchase of Intel shares worth $5 billion, completing a transaction first announced in September, according to a regulatory filing released on Monday. The investment represents a significant strategic and financial move involving Intel, which has faced mounting financial pressure in recent years.

Under the terms of the agreement, Nvidia paid $23.28 per share for Intel common stock. In total, the AI chip leader acquired more than 214.7 million shares through a private placement. The deal positions Nvidia as one of Intel’s largest shareholders and is widely interpreted as a critical financial boost for Intel, whose balance sheet has been strained by years of strategic missteps and heavy spending on manufacturing capacity expansions.

Intel has invested aggressively in domestic chip production in an effort to regain technological leadership and reduce reliance on overseas manufacturing. While these investments align with long-term industry and national security goals, they have significantly increased capital expenditure and pressured near-term profitability. Nvidia’s investment provides Intel with fresh capital at a moment when liquidity and investor confidence are key concerns.

The transaction has already cleared regulatory scrutiny. U.S. antitrust authorities approved the deal earlier this month, with confirmation posted by the Federal Trade Commission. This clearance removed one of the final obstacles to completing the agreement.

Market reaction was muted. Nvidia shares fell 1.3% in premarket trading following the disclosure, while Intel’s stock remained largely unchanged, suggesting investors had already priced in the deal since its announcement in September.

Nobel Laureate and Tech Giants Form Alliance to Build Mass-Produced Quantum Supercomputers

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Nobel Prize-winning physicist John M. Martinis has teamed up with Hewlett Packard Enterprise (HPE) and leading semiconductor companies to launch an ambitious initiative to build the world’s first mass-producible quantum supercomputer.

The collaboration, called the Quantum Scaling Alliance, brings together Applied Materials, Synopsys, 1QBit, Quantum Machines, Riverlane, and the University of Wisconsin. Its goal is to transition quantum computing from bespoke, laboratory-scale devices into scalable systems that can be manufactured using the same industrial tools that produce millions of chips for smartphones, laptops, and AI servers.

“Quantum chips have been made in an artisanal way for decades — small batches, one at a time. Now it’s time to move to a standard professional model,” Martinis told Reuters.

Quantum computers exploit qubits, which can exist in multiple states simultaneously, enabling them to perform complex calculations exponentially faster than traditional machines. The alliance aims to overcome one of the key barriers in the field — scaling quantum systems while maintaining stability and error correction.

HPE’s quantum team, led by Masoud Mohseni, is working on the integration of quantum and classical computing systems — a critical step toward achieving large-scale, fault-tolerant quantum machines.

“People think that once you have hundreds or thousands of qubits, you can easily scale to millions. That’s just not true. Each scale brings new challenges,” Mohseni explained.

By uniting expertise in chip manufacturing, software design, and computing architecture, the Quantum Scaling Alliance hopes to create the foundation for commercially viable quantum supercomputers — machines capable of tackling problems in chemistry, medicine, materials science, and cryptography that are currently beyond reach.

Tower Semiconductor Raises Forecasts on AI and Data Center Demand Surge

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Tower Semiconductor, the Israeli-based contract chipmaker, forecast fourth-quarter revenue above market expectations, driven by booming demand for chips used in data centers and AI infrastructure. The announcement sent the company’s U.S.-listed shares up 15%, reaching their highest level in over two decades after a 63% surge this year.

The company said it expects revenue of around $440 million, plus or minus 5%, surpassing analysts’ estimates of $434.4 million, according to LSEG data.

CEO Russell Ellwanger attributed the growth to strong demand for Tower’s analog and mixed-signal semiconductors, which are widely used in automotive, industrial, and communications technologies. He added that the company’s Silicon-Germanium and Silicon Photonics technologies — essential for high-speed optical data transmission — are key growth drivers as global data center expansion accelerates.

Tower also announced an additional $300 million investment to expand its manufacturing capacity and advance next-generation chip capabilities across Israel, the United States, Italy, and Japan.

For the third quarter ended September 30, Tower reported revenue of $395.7 million, slightly above forecasts, and adjusted earnings of 55 cents per share, topping estimates of 54 cents.

The results highlight the semiconductor industry’s ongoing shift toward AI-driven infrastructure, where specialized chips for data transmission and network performance are becoming vital to global tech ecosystems.