Nvidia

Samsung is expected to more than double production of its HBM4 and HBM4E high-bandwidth memory DRAM next year, according to a report citing industry sources. The move reflects surging demand for advanced memory used in AI accelerators, and would tighten the race with SK Hynix, the current leader in high-bandwidth memory supply to chipmakers like Nvidia.

Huawei's Ascend chips have overtaken Nvidia in China's AI chip market, according to a new report. The shift reflects the impact of US export controls that have restricted Nvidia's access to Chinese customers, pushing domestic buyers toward Huawei's homegrown alternatives. Analysts see it as a milestone for China's semiconductor self-sufficiency push, though questions remain about Ascend's performance and production capacity at scale.

Nvidia chief executive Jensen Huang said that people warning of an AI apocalypse 'have ulterior reasons', pushing back against prominent voices predicting catastrophic outcomes from artificial intelligence. Huang's remarks add to an ongoing debate between AI industry leaders who see the technology as an economic opportunity and critics who argue its risks are being downplayed for commercial gain.

Chinese AI firm Moonshot is reportedly seeking access to additional Nvidia Blackwell chips, according to a report circulating this week. The claim lands just a week after a Trump administration official flagged an alleged breach of US export controls on advanced Nvidia processors. The episode keeps a spotlight on Washington's restrictions on high-end AI chips reaching China and enforcement questions around them.

Nvidia chief executive Jensen Huang has dismissed concerns that widespread use of AI tools is eroding people's skills, arguing that AI should be treated as a tool that augments workers rather than replaces their abilities. His remarks come amid ongoing debate in the tech industry about whether reliance on AI systems, from coding assistants to chatbots, is weakening critical thinking and expertise among workers and students.

ByteDance, the Chinese parent company of TikTok, gained access to more than 2,000 Nvidia B200 chips through Nscale's data center in Norway, according to a new filing. A Singaporean subsidiary called Spring accounted for 73% of the UK-based neocloud's 2025 revenue. The report is drawing attention because the US restricts exports of advanced Nvidia AI chips to China, raising questions about how US-made hardware reached a Chinese firm indirectly.

Microsoft announced expanded Azure transparency reporting, new Surface devices and its own custom AI chips, strengthening its cloud and hardware lineup. The company is positioning the chips to reduce reliance on outside suppliers and to lower costs for AI workloads running across its data centres. Coverage focuses on how the moves fit Microsoft's broader push into artificial intelligence infrastructure alongside rivals such as Amazon, Google and Nvidia.

Huawei has announced two advanced AI chips slated for 2027, putting the spotlight on Nvidia as investors weigh fresh competition in the AI semiconductor market. Traders are watching how the Chinese chipmaker's roadmap could challenge Nvidia's dominance in AI accelerators, a market it has led amid US-China tech tensions.

Micron is reporting its fiscal first-quarter 2026 earnings, with attention focused on whether a boost from Nvidia's latest chip launch will reach the memory maker later than expected. Analysts and investors are watching Micron's guidance for signs that demand tied to Nvidia's new chips may take longer to translate into sales, a factor that could shape sentiment across the semiconductor sector.

NVIDIA/Model-Optimizer is an open-source Python library on GitHub that collects state-of-the-art model optimization techniques, including quantization, distillation, pruning, neural architecture search and speculative decoding. It compresses deep learning models so they run efficiently in deployment frameworks such as TensorRT-LLM, TensorRT and vLLM, improving inference speed. It is trending on GitHub's rankings with modest engagement, and the posts shown only describe the project itself, so there is no evidence of a specific event driving attention.

Bank of America analysts have identified Nvidia and several other stocks as trading at attractive prices, effectively labeling them 'on sale' for investors. The call comes as market attention stays fixed on Nvidia amid the AI-driven rally, and investors weigh whether recent pullbacks in major tech names represent buying opportunities. The bank's list of discounted stocks is drawing attention across financial media and investor circles.

Nvidia CEO Jensen Huang says AI laboratories that cannot control the systems they build should be shut down. The remarks, reported by Gadget Review, add a prominent industry voice to the ongoing debate over AI safety and accountability. Huang's position suggests that the ability to manage and contain advanced AI models should be a baseline requirement for any lab developing them.

Student protesters interrupted an NVIDIA panel on artificial intelligence and climate held during NYC Climate Week. Footage shared by Al Jazeera shows activists taking over the session, adding to ongoing criticism of the tech industry's energy-hungry AI expansion and its climate commitments. The disruption has drawn attention during a week when companies are showcasing their environmental pledges.

NVIDIA's GPU Technology Conference (GTC) is in the news. GTC is the company's flagship event, where it typically unveils new chips, software and AI-related announcements for developers and partners. Coverage is currently limited to mentions of the conference itself, with no specific announcement details available.

CoreWeave, the GPU-focused cloud provider, is shifting from capitalising on shortages of AI chips to proving it can build a lasting, sustainable cloud business. Commentary centres on whether the company can convert its early advantage in scarce Nvidia GPUs into durable revenue as competition intensifies and chip supply improves. Analysts are watching its contracts, margins and ability to diversify beyond raw computing power.

Jensen Huang has reportedly committed to doubling chip supply, a move that would lock up roughly 37% of the world's high-bandwidth memory (HBM) output for 2026. The pledge underscores Nvidia's aggressive push to secure memory for its AI accelerators amid shortages, leaving rival chipmakers competing for the remaining HBM capacity from suppliers like SK Hynix, Samsung and Micron.

Nvidia chief executive Jensen Huang is challenging a widely cited figure used in the ongoing debate over artificial intelligence, arguing that the number has no scientific basis. His comments add to a heated public discussion about AI's risks and benefits, in which competing claims about the technology's future are often made without solid evidence behind them.

Stanford University and Nvidia have open-sourced CLM-8B, an AI model built for software agents that caches reusable actions instead of recomputing them. In tests the model ran up to nine times faster than Jev, a comparable agent system. The open release is drawing attention for offering large speed gains on agentic workloads, an area where inference cost is a major bottleneck for developers.

Barron's reports that SpaceX is purchasing a significant number of Nvidia AI chips, tying Elon Musk's space company to the booming demand for artificial intelligence computing hardware. The report follows widespread interest in how much AI compute Musk's ventures are securing, as Nvidia's GPUs remain the most sought-after chips in the industry. Investors are watching Nvidia's stock closely as major buyers like SpaceX add to already heavy demand.