NVIDIA is a semiconductor company best known for its GPUs, which are the primary compute hardware for training and running AI models. Its H100 and A100 chips power the majority of AI data centers worldwide.
Syntiant Corp., an Irvine-based chipmaker specializing in low-power AI processors for earbuds and hearing aids, filed for an IPO on July 6 amid a Wall Street selloff of AI chip stocks. The company, ba…
Samsung Electronics Co. reported a 19-fold surge in quarterly profit, beating elevated expectations, driven by runaway demand for memory chips used in AI data centers. The world's largest memory maker…
Nvidia's GPU debt backstop is enabling a multi-trillion-dollar AI credit market, with over $7 trillion in debt projected by 2029 to finance AI compute buildouts. The AI Project Trinity—capital, offtak…
Apple has added a popup in iOS 26 and iOS 27 beta that informs users their data is sent to Google Cloud when using AI features like shape generation in iWork and Freeform. The company confirmed its ne…
Elon Musk's AI consolidation took a public branding step on Monday as the X account @xAI changed to @SpaceXAI, but the move left legal and operational questions unanswered. The rebranding follows Musk…
GLM 5.2, an open-weights model from Z.ai, has emerged as a genuine competitor to frontier models like Opus and GPT, but its slow inference speed and lack of vision and web search capabilities limit it…
Chinese AI users are jailbreaking models like DeepSeek by claiming the year is 5022 and moral codes no longer apply, revealing a sophisticated prompt-engineering culture born from China's tightly cont…
AMD launched the Ryzen AI Halo Developer Platform, a $4,000 mini PC with 128GB of unified memory, targeting developers who need to run large local LLMs without cloud costs. The device uses a Ryzen AI …
AMD launched the Ryzen AI Halo workstation at nearly $4,000, offering 128 GB of unified memory for local AI model training and inference. The system is cheaper than Nvidia's DGX Spark but uses year-ol…
Dan Sundheim's D1 Capital returned roughly 10% in June, bringing its first-half gains to 25.7%, outperforming the Nasdaq 100 and S&P 500. Other Tiger Cub funds, including Light Street Capital, Maveric…
Nvidia's next AI server rack, Kyber NVL144, has been delayed more than a year to 2028 due to circuit board manufacturing problems, according to analyst firm SemiAnalysis. Asian suppliers lost up to do…
Nvidia was ranked the top 'company of the future' by The Wall Street Journal, but analyst Horace Dediu argues the chipmaker's success is largely due to luck, comparing it to a lottery winner. Dediu no…
ServiceNow created AI-powered 'mind gyms' to help employees strengthen focus and mental agility, with a 'personal professor' guiding cognitive exercises and lifelike AI avatars for sales pitch practic…
Companies are discovering that AI coding tools, especially agentic workflows, can cost more per month than the salaries of the engineers using them. Uber burned through its entire 2026 AI coding budge…
Nvidia announced DLSS 5 at GTC in March 2026, with a fall 2026 release window. The technology features neural rendering for photorealistic visuals, but over half of PC gamers remain unconvinced based …
South Korean chip workers at SK Hynix and Samsung have become highly sought-after in the dating market due to massive bonuses from the AI chip boom, with some employees receiving up to $476,000 extra …
GLM 5.2, an open-weights model from Z.ai, has emerged as a genuine competitor to frontier models like Opus and GPT, but its slow inference speed and lack of vision and web search capabilities limit it…
Micron Technology is investing 1.5 trillion yen ($10 billion) to expand its Hiroshima plant, with a 536 billion yen subsidy from Japan's METI, to secure the supply chain for high-bandwidth memory used…
Anthropic may rent computing infrastructure from Meta in a deal valued at $10 billion, according to a report. The arrangement would give Anthropic access to Meta's stockpile of Nvidia H100 and B200 GP…
Nvidia released Nemotron 3 Ultra, a 550-billion-parameter open-weight model, but running it on personal hardware is impossible due to memory constraints. At full precision, it requires 1.1 terabytes o…