Nvidia reported stellar results for the recent quarter, logging record revenue of $57 billion, up 62 percent year-over-year and 22 percent from Q2. “Blackwell sales are off the charts, and cloud GPUs are sold out,” Nvidia founder and CEO Jensen Huang told investors, saying “we’ve entered the virtuous cycle of AI,” with “more new foundation model makers, more AI startups across more industries, and in more countries.” The results quieted fears about an AI bubble. But there was some drama as Nvidia disclosed there is “no guarantee” of finalizing a previously announced $100 billion investment in OpenAI. Continue reading Nvidia Reports Record $57B in Revenue, $32B in Profit for Q3

Google is investing $40 billion to build new data centers in Texas through 2027. Google describes the project as focused on “new cloud and AI infrastructure, including new data center campuses in Armstrong and Haskell Counties,” emphasizing their energy efficiency. The investment includes the creation of a $30 million Google-backed Energy Impact Fund, and one of the Haskell County facilities will be built housed adjacent to a new solar and battery storage plant. At a Dallas-area launch event announcing the project, Alphabet and Google CEO Sundar Pichai said the initiative will create thousands of new jobs. Continue reading Google Commits $40 Billion for New AI Data Centers in Texas

Google Cloud is rolling out its seventh-generation Tensor Processing Unit (TPU), Ironwood, and new Arm-based computing options that aim to meet exploding demand for AI model deployment in what the Alphabet company describes as a business shift from training models to serving end users. “Constantly shifting model architectures, the rise of agentic workflows, plus near-exponential growth in demand for compute, define this new age of inference,” explains Google Cloud. The company said that Anthropic — known for its Claude family of large language models — “plans to access up to 1 million” of the new TPUs. The deal is reportedly “worth billions.” Continue reading Google Unveils New AI Chips, Announces Deal with Anthropic

SoftBank has cashed out of Nvidia, liquidating its stock holdings for $5.83 billion that it will reportedly use to fund what CNBC describes as “its ‘all in’ bet on ChatGPT maker OpenAI.” The sell-off was disclosed in SoftBank’s most recent earnings statement, which indicated 32.1 million Nvidia shares were sold in October. The Japanese conglomerate also said it sold part of its T-Mobile holdings for $9.17 billion. “Through those options and tools we make sure that we are ready for funding in a very safe manner,” SoftBank CFO Yoshimitsu Goto said at an investor presentation. SoftBank announced a four-to-one stock split yesterday, while Nvidia shares were down 1.7 percent on the sell-off news. Continue reading SoftBank Sells Off Nvidia Shares to Pursue OpenAI, Robotics

Hyperscalers are gobbling up land for AI data centers and now Google is mapping out property in space. Known as Project Suncatcher, the plan is to launch solar-powered networks of orbiting Tensor Processing Units (TPUs) — Google’s custom-developed machine learning accelerator chips — connected by free-space optical links. Apparently, Google feels that deploying high-performance TPUs in space would not be that different from the satellites that relay Internet communications from orbit. A big advantage over Earth-based AI factories is proximity to the sun, which emits “more power than 100 trillion times humanity’s total electricity production,” per Google. Continue reading Google Shares Moonshot Plan to Build Data Center in Space

Nvidia has struck a series of deals with South Korea’s tech leaders that will result in more than 250,000 of its chips deployed across that country. Included in the frenzy of activity are Samsung Electronics, which is teaming with Nvidia to build an AI “megafactory” that will use more than 50,000 Nvidia GPUs for an intelligent manufacturing facility that will produce state-of-the-art processors that will be used in mobile devices, and robotics, among other things. Nvidia also has South Korean AI factories in the works with Hyundai and manufacturing conglomerate SK Group. The announcements were made as Nvidia CEO Jensen Huang attended the Asia-Pacific Economic Cooperation (APEC) meetings. Continue reading Nvidia Talks Up Robotics and AI Megafactory with Samsung

Qualcomm, which has established itself as a leading supplier of AI chips for edge devices with its Snapdragon line, is now making a major push into the data center space to challenge industry leaders such as Nvidia and AMD. The AI200 and AI250 accelerator chips are aimed at rack-scale inference systems as the debut entries in what Qualcomm describes as a multi-generation roadmap of AI inference equipment that will be updated annually. At Monday’s market close, Qualcomm stock was up by 11 percent on the news as investors saw promise of the San Diego-based firm’s expansion beyond its core mobile market. Continue reading Qualcomm Articulates Its Expansion into AI Data Center Chips

Oracle Cloud Infrastructure (OCI) will be a launch partner for the first publicly available AI supercluster powered by AMD’s upcoming Instinct MI450 Series GPUs — with an initial order of 50,000 of the chips to be deployed starting in Q3 2026 and expanding in 2027. The resulting Oracle installations will feature Instinct MI450s configured with AMD-designed CPUs in AMD’s new Helios server rack systems, positioned to compete with Nvidia’s Vera Rubin NVL144 CPX racks when both platforms are mass-released next year. Oracle is challenged to rapidly scale its data center capacity due to massive compute commitments made this year to OpenAI. Continue reading Oracle Cloud Orders 50,000 New AMD Instinct MI450 AI GPUs

OpenAI has expanded its alliance with Broadcom, announcing a plan to create enough custom AI accelerator chips to consume 10 gigawatts of power. News of the custom chip collaboration leaked out last month. Now that it is ready to go public, OpenAI says designing its own chips and systems will allow the startup to leverage directly into the hardware what it has learned from developing frontier models. The racks, scaled entirely with Ethernet and other connectivity solutions from Broadcom, will be deployed across OpenAI’s facilities and partner data centers beginning in the second half of 2026. Continue reading OpenAI & Broadcom Developing Custom AI Accelerator Chips

Qualcomm has released two new chips within the Snapdragon X Series portfolio. The Snapdragon X2 Elite Extreme and Snapdragon X2 Elite are “the fastest and most efficient processors for Windows PCs,” according to the company. The 3nm chips boast up to 43 percent less power consumption than the prior generation. They were unveiled at the Snapdragon Summit in Maui, where Qualcomm CEO Cristiano Amon talked about the 6G future, which he described as a “dynamic, adaptive network of intelligence” that will be contextually sensitive, feeding across an ecosystem of personal devices from phones and laptops to smart glasses and connected cars. Continue reading Qualcomm Debuts Chips, Explores 6G at Snapdragon Summit

Alibaba Cloud’s newest AI model, Qwen3-Omni-30B-A3B, has debuted with a splash. The Chinese company is touting it as “the first natively end-to-end omni-modal AI unifying text, image, audio & video in one model.” While Qwen3-Omni can accept prompts of text, image, audio and video, it only outputs text and audio. Alibaba Cloud has released the three versions of Qwen3-Omni so users can select based on their needs, choosing between general multimodal capabilities, deep reasoning or specialized audio understanding. Alibaba has also developed an AI chip called T-Head that performs comparably to Nvidia’s H20. Continue reading Alibaba’s Qwen3-Omni AI Ingests Text, Images, Audio, Video

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

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