OpenAI is said to be in talks with Broadcom about developing custom AI inference chips to run its models. On an earnings call last week, Broadcom disclosed that an AI developer had placed a $10 billion order for AI server racks using its chips. That new customer was reported to be OpenAI, which has relied primarily on hotly sought-after Nvidia GPUs for model training and deployment. Broadcom specializes in XPUs — accelerator chips designed for specific uses, like inference for ChatGPT. OpenAI CEO Sam Altman has publicly complained that a shortage of chips has impeded the company’s ability to get new models and products to market. Continue reading OpenAI Reportedly Turning to Broadcom for Custom AI Chips

Santa Clara, California-based Nvidia reported its sales were $46.7 billion for the most recent quarter, marking 56 percent growth over the same period last year and up 6 percent sequentially. Profit rose more than 59 percent to $26.42 billion. The results, which surpassed estimates, reassured global analysts and investors that AI infrastructure spending remains strong, easing — though not erasing — anxieties about an AI bubble. This summer, the chipmaker became the first company to exceed a market cap of $4 trillion, and it is considered a global barometer for the overall health of the artificial intelligence sector. Continue reading Nvidia Announces Continued Growth, $26 Billion in Q2 Profit

The U.S. government is taking a 10 percent stake in Intel in exchange for $5.7 billion in grants previously awarded, but not yet paid, to Intel under the U.S. CHIPS and Science Act and $3.2 billion awarded to the company as part of the Secure Enclave program. Intel had already received $2.2 billion from those funds, bringing the U.S. investment to $11.1 billion. However, the company’s mounting losses — $2.9 billion in Q2, a 57 percent increase over Q2 2024’s $1.61 billion loss — made it questionable as to whether the company could continue to fulfill terms for the funding without intervention. The Intel agreement marks the largest U.S. government equity deal for an individual tech firm. Continue reading U.S. Is Taking 10 Percent Intel Stake in Equity for Grants Deal

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

Semiconductor giant Qualcomm is seeking to expand its AI tech portfolio with an agreement to purchase custom silicon firm Alphawave IP Group (“Alphawave Semi”) in a deal valued at roughly $2.4 billion. UK-based Alphawave makes chips used in artificial intelligence and data centers. The deal follows months of talks between the San Diego-based Qualcomm and Alphawave, which was identified as an acquisition target in April. “AI inferencing growth is driving demand for Qualcomm’s high-performance energy-efficient compute solutions and this acquisition provides key assets for our expansion into data centers,” Qualcomm explained in disclosing the deal. Continue reading Qualcomm Strikes Deal to Acquire Alphawave for $2.4 Billion

Qualcomm has made no secret of its belief that smart glasses are going to be a significant future product, and during the Augmented World Expo in Long Beach, California this week, the chipmaker shared its vision for the sector, demonstrating eyewear using its new Snapdragon processor. According to the company, the AR1+ Gen 1 is 26 percent smaller than earlier chips and runs artificial intelligence tools independent of Internet or smartphone connectivity. Qualcomm’s goal is to help smart glasses become “fully independent devices” that can do processing and complete agentic tasks with or without connectivity. Continue reading Qualcomm Chip Could Be a ‘Breakthrough’ for Smart Glasses

Google DeepMind has introduced AlphaEvolve, a coding agent that takes an evolutionary approach to general-purpose algorithm discovery and model optimization. AlphaEvolve combines the creative problem-solving abilities of Google’s Gemini models with automated evaluators that verify answers, then applies an evolutionary framework that improves on the most promising results. Evolutionary AI refers to techniques inspired by biological evolution, including natural selection, to optimize and design machine learning models. Continue reading Google DeepMind AlphaEvolve: Model of Algorithm Efficiency

Cisco Systems announced the development of a networking chip that uses quantum mechanics. The prototype entanglement source chip, which the company claims can generate up to one million entangled photon pairs per second (at room temperature), was created through the Outshift by Cisco incubator in partnership with UC Santa Barbara. While other companies are building quantum computers, Cisco is focusing on infrastructure, network and security frameworks. The company has also opened a new research facility in Santa Monica, California — Cisco Quantum Labs — dedicated to quantum networking tech. Continue reading Cisco Unveils a New Prototype Chip for Quantum Networking

China’s Huawei Technologies is getting ready to test its newest AI processor, which the company believes is powerful enough to replace high-end chips from U.S. rival Nvidia, whose top-tier products are prohibited from export to China due to a trade embargo. Huawei’s AI ambitions suggest a superpower competition over semiconductors gearing up despite the U.S. government’s attempt to stymie Beijing. Huawei expects to receive its first samples of its latest AI processor, the Ascend 910D, as early as next month, and is reportedly casting about for tech firms capable of testing it out. Continue reading Huawei’s Processor Could Chip Away at Nvidia Market Share

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’

Google has debuted a new accelerator chip, Ironwood, a tensor processing unit designed specifically for inference — the ability of AI to predict things. Ironwood will power Google Cloud’s AI Hypercomputer, which runs the company’s Gemini models and is gearing up for the next generation of artificial intelligence workloads. Google’s TPUs are similar to the accelerator GPUs sold by Nvidia, but unlike the GPUs they’re designed for AI and geared toward speeding neural network tasks and mathematical operations. Google says when deployed at scale Ironwood is more than 24 times more powerful than the world’s fastest supercomputer. Continue reading Google Ironwood TPU is Made for Inference and ‘Thinking’ AI

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

Japanese tech investment firm Softbank has agreed to acquire Silicon Valley chip startup Ampere for $6.5 billion, indicating that technology originating in smartphones will eventually become integral to global data centers and the future of artificial intelligence. The eight-year-old Ampere sells chips based on Arm technology, the processor type used in virtually all mobile phones. SoftBank purchased Arm in 2016 and has since been working to ensure the technology becomes used more broadly. Softbank says it will allow Ampere to retain its own name, operating it as a wholly-owned subsidiary. Continue reading Softbank Agrees to Acquire Chipmaker Ampere for $6.5 Billion

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