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.
Taiwan Semiconductor Manufacturing Co. (TSMC), the world's largest chipmaker, reported a 45% surge in sales for the third quarter, driven by robust demand for AI chips from customers like Nvidia and G…
Rep. John Moolenaar, the Michigan Republican chairing the House Select Committee on the Chinese Communist Party, is urging the Commerce Department to impose tighter export controls on advanced AI chip…
Meta CEO Mark Zuckerberg criticized OpenAI and Anthropic for their closed AI development approach, calling it un-American and arguing it concentrates too much power, as Meta pivots back to open-source…
A new paper from Hugging Face, 'Efficient Knowledge Distillation for LLMs: Offline Top-K Logits and a Fused Chunked KL Loss,' cuts the VRAM required for knowledge distillation from roughly 250GB to ne…
SpaceX is in advanced talks to acquire Israeli AI startup Decart for $6 billion to $7 billion, according to Calcalist, a deal that would give Elon Musk's company control over software that optimizes A…
AMD has acquired Canadian AI chip startup Taalas to integrate its technology into AMD Instinct GPUs for more efficient inference workloads. Financial terms were not disclosed. Taalas, founded in Augus…
Micron Technology Inc. trades at roughly 5.4x to 6x forward earnings estimates for fiscal years 2027 and 2028, a steep discount to the S&P 500's typical 20x multiple, as the market prices in fears of …
Chinese humanoid robots are moving into real jobs in factories and beyond, according to a new analysis by investment bank Morgan Stanley, fueling concerns about AI's destructive potential and China ov…
China's most advanced AI models are still being trained on Nvidia chips despite Beijing's push for semiconductor self-sufficiency, with industry insiders citing the high cost and complexity of switchi…
Apollo Chief Economist Torsten Slok warned that AI industry profits are currently funded by investors rather than earned from customers, with the most profitable segment—silicon and equipment—earning …
Taiwan Semiconductor Manufacturing Co. (TSMC), the world's leading contract chipmaker, reported July sales of 467.58 billion Taiwan dollars (about $14.5 billion), a 45% year-over-year increase, signal…
Israeli AI startup Decart is in advanced talks to be sold for approximately $6 billion-$7 billion, with Elon Musk's SpaceX, Amazon, and Nebius among potential buyers, according to Calcalist. The deal,…
Taiwan Semiconductor Manufacturing Co. reported July sales rose about 45% year over year, its strongest monthly growth in a year, signaling that AI infrastructure spending is translating into real rev…
China's top AI developers remain reliant on Nvidia chips for training large language models, despite Beijing's push for self-sufficiency, due to high transition costs and the dominance of Nvidia's CUD…
The 2026 Autonomous Mobility Expo (AME) will be held Tuesday through Thursday at Coex in Hall B, Seoul, co-hosted by Coex and the Korea Association of Autonomous Mobility Industry, organizers said Mon…
Decart co-founders Dean Leitersdorf and Moshe Shalev are in advanced talks to sell their AI lab for roughly $6 billion to $7 billion after a bidder topped an offer from Nvidia, according to CTech. The…
AMD acquired Toronto-based Taalas on August 6, a chip startup that hardwires AI model weights into silicon using Mask ROM, eliminating the memory bottleneck. Taalas's HC1 chip, built on TSMC's 6nm pro…
Tencent Holdings Ltd.'s spending plans will draw investor scrutiny as investors cool on lavish AI outlays, with consensus earnings estimates in China's tech sector under sustained pressure in the seco…
Mark Cuban warned on July 28 that Nvidia's vendor financing practices mirror the credit structures that fueled the dot-com bubble, saying 'One breakthrough in another chip provider, or a misstep, and …
A widely cited global survey found that a third of employees admit to sabotaging AI initiatives at work, and engineers often resist AI rollouts due to job security fears, unclear goals, and leadership…