Nvidia’s Jensen Huang warns US officials about banning Chinese open-weight models

Nvidia CEO Jensen Huang once again voiced his support for open-weight and open-source AI, a form of model that has caught official attention in Washington after the release of the powerful Kimi K3 model from Chinese startup Moonshot AI. His comments added another voice to the ongoing debate over closed-source versus open-source approaches as the US considers restrictions on Chinese AI.

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China’s GenAI race shifts to open source ecosystems

The global GenAI race has remained intense, with major US players including Google, Meta, Microsoft, Amazon, and OpenAI investing heavily. But with Beijing-based startup Moonshot AI launching Kimi K3, a new large language model (LLM) with multimodal and long-context reasoning capabilities, along with the rapid rise of DeepSeek, Alibaba’s Qwen, and Z.ai’s GLM models, China is increasingly outlining a new competitive model centered on open-source AI ecosystems and large-scale commercial deployment.

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White House reportedly approaches final framework for reviewing frontier models

The US government is said to be close to creating a final version of a voluntary framework for evaluating AI companies’ advanced models before they are released to the public. A finalized framework could clear up weeks of uncertainty, but for now many questions about it remain, such as the exact review process, what counts as a frontier model, and whether it is truly voluntary after all.

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Analysis: What Seagate’s blowout quarter signals about the next two years of AI infrastructure demand

Seagate’s fiscal fourth quarter was by almost every measure its strongest in over a decade — US$3.6 billion in revenue, US$1.1 billion in free cash flow, and gross margins pushing toward 53%. But for supply chain watchers, the more important story is what the results reveal about where demand is heading, who is driving it, and how the hardware ecosystem needs to prepare.

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NXP finds new AI data center role beyond GPUs

NXP Semiconductors’ physical AI strategy extends beyond vehicles, factories and robots. The same control, connectivity and real-time processing capabilities are also giving the company a larger role in AI data center infrastructure, where it is targeting the systems that manage networking, cooling, security and power around increasingly complex accelerator platforms.

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SK Hynix keeps US and Japan expansion options open despite KRW40T capex plan

SK Hynix is advancing a high-KRW40s trillion capital expenditure plan for 2026 to expand AI memory capacity, but has stopped short of committing to new production investments in the US or Japan. The company said future overseas expansion decisions will depend on business feasibility, infrastructure availability, semiconductor ecosystems, and customer needs as it builds a flexible global manufacturing footprint.

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