Nvidia is investing $5 billion in Intel via a common stock purchase at $23.28 per share, which translates to about a 4 percent stake. The companies plan to collaborate across multiple projects, developing custom data center and PC products to accelerate applications and workloads across the hyperscale, enterprise and consumer markets. Nvidia’s NVLink will be used to connect the architectures, integrating Nvidia’s GPUs with Intel’s CPU technologies. For data centers, Intel will customize x86 CPUs that Nvidia can integrate into its AI platforms. Intel also plans to build x86 SOCs that integrate Nvidia RTX GPU chiplets for PCs. Continue reading Nvidia Invests $5 Billion in Intel with Plans for AI Infrastructure

Japan’s SoftBank has committed to investing $2 billion in U.S. chipmaker Intel as the company struggles to gain traction in the exploding artificial intelligence space and catch up in the mobile market. SoftBank has agreed to purchase roughly 87 million Intel shares at $23 per share to become the company’s fifth or sixth-largest shareholder. The move comes as the Trump administration deliberates converting the U.S. government’s CHIPS Act grants into a 10 percent equity stake in the company as part of its effort to revive American semiconductor manufacturing. Such a deal would make the government Intel’s largest stakeholder. Continue reading SoftBank Invests $2 Billion in Intel as Government Mulls Stake

Tesla has selected Samsung to manufacture its new A16 system-on-a-chip, developed by the carmaker for its next-generation artificial intelligence applications, including for autonomous driving, Optimus robots and AI data centers. The multiyear deal is reportedly worth $16.5 billion to Samsung and represents a major win for its foundry division. The South Korean company’s soon-to-open plant in Taylor, Texas will focus on making Tesla’s new AI6 chip, according to Tesla CEO Elon Musk. Samsung began producing Tesla’s A14 chip in 2023, but the A15 contract went to TSMC, which is in the testing phase using its 3nm N3P process. Continue reading Samsung Inks $16.5 Billion Deal to Produce Tesla’s A16 Chip

Nvidia is joining forces with Foxconn to build Taiwan’s first supercomputer. Foxconn, the world’s largest contract manufacturer of electronics, will implement the system through its subsidiary Big Innovation Company, which specializes in advanced tech solutions for enterprise. The supercomputer will leverage 10,000 Nvidia Blackwell GPUs, providing “orders-of-magnitude faster performance, compared with previous-generation systems,” said Nvidia CEO Jensen Huang in his Computex keynote. Huang also announced a new initiative that will let companies build semi-custom chips and talked-up desktop supercomputers in the works with Acer and Asus. Continue reading Nvidia, Foxconn Plan to Build an AI Supercomputer in Taiwan

IBM plans to invest $150 billion over the next five years to fuel the U.S. economy. Included in the spending plan is more than $30 billion devoted to research and development for mainframe and quantum computers to be manufactured in the U.S. The announcement comes as President Trump is pressing global companies to invest more here, including with trade tariffs that threaten to make products manufactured overseas more expensive to sell at home. IBM CEO Arvind Krishna says the company has “been focused on American jobs and manufacturing since our founding 114 years ago.” Continue reading IBM Unveils 5-Year Plan for $150B in Manufacturing and R&D

TSMC introduced its new logic process technology, A14, at the company’s North America Technology Symposium in California. Designed to drive AI forward with faster computing and greater power efficiency, the 1.4nm A14 process is expected to be a boon to smartphones, expanding their on-board capabilities. The company says A14 is an improvement over TSMC’s N2 2nm node, set to go into volume production later this year. TSMC plans to begin producing chips using the A14 process in 2028 for AI clients including Nvidia, the company told reporters and analysts on the eve of its conference. Continue reading TSMC Says New A14 Tech Will Make ‘Smartphones Smarter’

Semiconductor giant Intel has reached a tentative agreement with Taiwan’s TSMC and some U.S. firms to create a joint venture that would assume operating responsibility for Intel’s chip fabrication plants here. TSMC will reportedly hold a 20 percent stake in the JV, while Intel and the other investors would control the remaining 80 percent. This specific JV is limited to Intel’s foundry unit, which posted a 2024 operating loss of $13.4 billion in 2024 and is not expected to break even until 2027. New Intel CEO Lip-Bu Tan said at last week’s Intel Vision conference that he will spin off all non-core units. Continue reading TSMC Reportedly Ready for Joint Venture with Intel Foundries

Meta Platforms has reportedly begun “a small deployment” of its first in-house chip designed for AI training. The accelerator chip is engineered around the open-standard RISC-V architecture. TSMC produced the working samples now being tested. The goal is to create purpose-specific chips that are more efficient than Nvidia’s general purpose GPUs, enjoying the cost-savings that would come with wide use and reducing reliance on outside chip suppliers in a tight market. If the tests go well, Meta plans to scale up production for expanded use by 2026. Details of the new chip’s specifications remain unknown at this time. Continue reading Meta Tests New AI Accelerator Chip Designed with Broadcom

Taiwan semiconductor firm TSMC, the world’s largest chipmaker, has vowed to add another $100 billion to its existing $65 billion plan to expand its U.S. manufacturing base. The total allocation — $165 billion over the next four years — sees TSMC further building out its advanced semiconductor fabrication complex in Phoenix, Arizona, which has been producing at volume since late 2024. The expansion plays a key role in strengthening the U.S. computer ecosystem by increasing U.S. production of advanced semiconductors, TSMC says, adding that it will “complete the domestic AI supply chain” with advanced packaging investments. Continue reading TSMC Will Boost Its Factory Build-Out in U.S. by $100 Billion

OpenAI is getting close to finalizing its first custom chip design, according to an exclusive report from Reuters that emphasizes the Microsoft-backed AI giant’s goal of reducing its dependency on Nvidia chips. The blueprint for the first-generation OpenAI chip could be finalized as soon as the next few months and sent to Taiwan’s TSMC for fabrication, which will take about six months — “unless OpenAI pays substantially more for expedited manufacturing” — according to the report. Even by usual standards, the training-focused chip is already on a fast track to deployment. Continue reading OpenAI In-House Chip Could Be Ready for Testing This Year

Ayar Labs, which develops optical interconnect chips for large-scale AI workloads, has secured $155 million in financing, including from competing processor companies Nvidia, Intel and AMD. Founded in 2017, the Silicon Valley-based company is pursuing a different processing path — combining photonic elements with electronic circuits on each chip for what it says provides faster, more efficient processing for artificial intelligence and high-performance computing. “This brings the company’s total funding to $370 million and raises the company’s valuation to above $1 billion,” Ayar notes, adding that the new funding allows the company to scale its optical I/O tech. Continue reading Nvidia, Intel and AMD Invest in AI Chiplet Developer Ayar Labs

IBM is the first cloud customer for Intel’s Gaudi 3 AI accelerator chip, which it will make available in early 2025. The Gaudi 3 will be available for hybrid and on-site environments via the IBM Cloud, as part of Watsonx AI and on IBM data platforms. Gaudi 3, which began shipping in Q2 and is expected to go into mass production later this year, is IBM’s AI challenger to GPU accelerators from Nvidia and AMD, the latter having in January begun shipping its own HPC solution, the MI300X. Unlike that chip and Nvidia’s Hopper H100 and more recent Blackwell B200, the Gaudi 3 is not a GPU, but built on an architecture specifically for inference and deep learning. Continue reading IBM Cloud Is First to Widely Implement Intel Gaudi 3 AI Chips

The Biden Administration has opened a call for applications for $285 million in funding for a national research institute that will develop semiconductor “digital twins,” software representations of semiconductor hardware that live in the cloud, where teams can collaborate remotely to design, test and analyze the components, allowing engineers to discover and address problems before the manufacturing process begins. The CHIPS Manufacturing USA institute will be the hub for companies and organizations advancing this work, which is meant to decrease domestic reliance on foreign-sourced chips as a matter of national security. Continue reading Government Commits $285 Million for ‘Digital Twin’ Research

Campaigning through the swing state of Arizona on Wednesday, President Biden announced Intel is lined up for a $19.5 billion package under the CHIPS and Science Act. The Department of Commerce has reached a preliminary agreement to provide up to $8.5 billion in grants and $11 billion in loans under the 2022 tech stimulus plan. Intel has committed $100 billion of its own. The CHIPS Act “will enable advanced semiconductor manufacturing to make a comeback here in America after 40 years,” Biden said, addressing a crowd at Intel’s Chandler, Arizona plant, which will be modernized using the funds. Continue reading Intel Awarded CHIPS Act Funding to Boost Production in U.S.

Nvidia unveiled what it is calling the world’s most powerful AI processing system, the Blackwell GPU, purpose built to power real-time generative AI on trillion-parameter large language models at what the company says will be up to 25x less cost and energy consumption than its predecessors. Blackwell’s capabilities will usher in what the company promises will be a new era in generative AI computing. News from Nvidia’s GTC 2024 developer conference included the NIM software platform, purpose built to streamline the setup of custom and pre-trained AI models in a production environment, and the DGX SuperPOD server, powered by Blackwell. Continue reading GTC: Nvidia Unveils Blackwell GPU for Trillion-Parameter LLMs