AI chip industry

Nvidia CEO Jensen Huang has described AI model distillation as 'competition,' a remark reported in the context of China's AI development. Distillation, the practice of training smaller models to mimic larger ones, is a sensitive topic among US and Chinese AI firms. Huang's framing suggests he views the technique as a normal competitive dynamic in the industry rather than copying or theft. The comment is drawing attention amid ongoing US-China tensions over chips and artificial intelligence.

Nvidia has put forward a plan to place a dedicated watchdog chip alongside every AI agent, aimed at monitoring and controlling the agents' behaviour in real time. The proposal has drawn attention among technology readers, with discussion centring on whether hardware-based oversight could become a standard safety layer as autonomous AI systems spread across industries.

NVIDIA is holding its GTC conference, the company's flagship event focused on graphics, AI and accelerated computing. The event typically features announcements from CEO Jensen Huang on new chips, software and AI infrastructure, and draws a large audience of developers, investors and industry watchers following NVIDIA's central role in the AI boom.

SpaceX launched a batch of Google's AI chips into orbit as part of an effort to develop data centers in space. The move marks a step toward running computing infrastructure off Earth, where solar power and cooling could be more efficient. The project links two of the biggest names in technology, drawing attention to the growing race to take AI computing beyond the planet.

Tencent has arranged to lease 100,000 chips from Oracle as the Chinese tech group works to accelerate its artificial intelligence ambitions. The deal, reported by the Financial Times, highlights how Chinese firms are securing overseas computing capacity amid tight access to advanced semiconductors, and underscores the growing global demand for AI hardware.

TSMC is considering building a new multibillion-dollar advanced chip campus in Texas to expand production capacity for artificial intelligence processors, according to Bloomberg. The plan would deepen the Taiwanese chipmaker's US manufacturing footprint beyond its existing Arizona projects, as demand for AI hardware keeps surging and governments push for more semiconductor production on American soil.

Volantis has raised $88 million in new funding for technology that connects AI systems with memory chips. The funding round was reported by Reuters and picked up by other outlets covering the semiconductor industry, which has been drawing heavy investment as demand for AI computing hardware grows. Details on the investors or valuation were not immediately provided in the reports.

DeepSeek and Huawei have released open-source programming tools for Huawei's Ascend AI chips, including compute and communication libraries and Ascend support for TileLang. The move is aimed at reducing dependence on Nvidia's CUDA ecosystem and strengthening China's domestic AI software stack. It signals a growing effort to build viable alternatives to Nvidia's dominant platform for AI development.

Broadcom has agreed to lend Anthropic $42 billion, which the AI startup will use to lease chips, according to a report by Semafor. The deal underscores how far chipmakers are willing to go to secure AI customers, effectively financing demand for their own hardware. It adds to a growing pattern of vendor-backed lending and multi-billion-dollar financing arrangements across the artificial intelligence industry, raising questions about circularity and credit risk in AI infrastructure spending.