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 has dismissed predictions that artificial intelligence could destroy humanity within the decade, saying there is a '0% chance' of such an outcome by 2030. His comments push back against warnings from AI safety advocates, including Anthropic, who have cautioned about catastrophic risks from increasingly powerful systems. The remarks are drawing attention given Nvidia's central role in supplying the chips powering the AI boom.

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.

Nvidia CEO Jensen Huang said that people warning about an AI apocalypse "have ulterior reasons", dismissing prominent doomsday narratives about artificial intelligence. His comments put him at odds with safety advocates and critics who argue rapid AI development poses existential risks, and are likely to fuel ongoing debate between AI industry leaders and those calling for stricter controls on the technology.

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.

Chinese AI startup Moonshot is reportedly seeking access to additional Nvidia Blackwell chips, according to a report circulating this week. The news comes just a week after a Trump administration official flagged an export control breach involving Nvidia's advanced chips. The development highlights continuing tensions over US restrictions on selling cutting-edge semiconductors to Chinese companies, a dispute that has become a central flashpoint in the technology rivalry between Washington and Beijing.

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.

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.

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.

Huawei has announced plans for two advanced AI chips slated for 2027, putting Nvidia stock in focus as investors weigh rising Chinese competition in the AI semiconductor market. Traders are watching how Huawei's roadmap could challenge Nvidia's dominance in AI accelerators and what it means for US export restrictions and Nvidia's China business.

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.

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.

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.

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.

NVIDIA's GTC conference is in the spotlight. The event is the company's flagship gathering focused on AI, chips and computing, where NVIDIA typically unveils new GPU architectures, software tools and partnerships. Attendees and industry watchers are following announcements closely, as the conference often signals the direction of the semiconductor and artificial intelligence markets for the months ahead.

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.