NVIDIA Intelligence

8.10 OpenAI Pauses Astra Development: AI Capabilities Approach "Dangerous Boundary", Safety Risk Halts Frontier Model for First Time

7.28 The debate in Silicon Valley over whether AI should pursue open-source or closed-source models continues to intensify. As of the morning of July 28, the joint open letter "Open Weights and America's AI Leadership," initiated by NVIDIA, Microsoft, Meta, and others, has grown from an initial 25 signatories to 77 companies and organizations.

8.27 就在英伟达公布创纪录的962亿美元季度财报的同一天，其最大客户之一亚马逊AWS用一笔史上最大GPU订单为这份成绩单写下了最有力的注脚

5.3 All courses listed come from top tech companies and universities, and remain continuously updated in 2026. We recommend starting with one introductory course, then diving deeper into specific areas based on your career direction. Most platforms may require VPN access; a few (such as IBM and Microsoft) are directly accessible in China.

6.1 In the CompuTEX 2026 keynote speech at the Taipei International Computer Show, NVIDIA CEO Huang Renxun officially released the Vera processor. This is NVIDIA's first CPU specially designed for the AI agent AgenticAI. It is also NVIDIA's next major bet in the data center CPU field after Grace.

7.16 On July 15, NVIDIA CEO Jensen Huang publicly refuted market rumors regarding delays to the company's next-generation AI computing platform during an event in Tokyo, Japan. He stated that Vera Rubin hardware is already in production and on track for customer delivery, adding that "large volumes of products are coming out."

5.29 MistralAI, the European leader in open source models, officially released its new product Vibe on May 28, and simultaneously announced its comprehensive entry into industrial-grade AI applications and self-built data center strategies.

8.5 During SpaceX's first post-IPO quarterly earnings call on August 4, Elon Musk unveiled a plan poised to reshape the AI infrastructure landscape: SpaceX is partnering with NVIDIA to develop the Starmind AI1 compute satellite, with the goal of building a distributed AI supercomputer network comprising up to 1 million low-Earth orbit satellites.

9.17 The Artificial Analysis AI Adoption Survey Report (H1 2025), released in the first half of 2025, shows that artificial intelligence is accelerating from the experimental stage toward scaled production deployment, with enterprise AI maturity significantly improving. The report is based on feedback from 1,036 AI users globally, covering multiple dimensions including technology, model selection, application scenarios, and infrastructure.

6.11 But the deeper signal is that if Maia200 is verified by Anthropic, it will mark the upgrade of Microsoft's self-developed chips from an internal cost optimization tool to an independent commercial asset. This may change the power landscape of the cloud computing market from Nvidia selling chips to cloud vendors to cloud vendors selling self-developed chips to AI companies."

8.28 On August 27, TIME magazine officially released the 2026 TIME100 AI list, its fourth annual ranking of the 100 most influential people in artificial intelligence. Seventeen representatives graced the magazine covers, including OpenAI CEO Sam Altman, xAI founder Elon Musk, Alibaba Group CEO Wu Yongming, and Stanford Professor Fei-Fei Li.

8.11 On August 10, NVIDIA announced it had signed memorandums of understanding with six major financial institutions—Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR—to establish independent financing platforms. The initiative aims to mobilize over $500 billion in third-party capital over time for AI infrastructure development. NVIDIA CEO Jensen Huang called this a milestone, marking the company's evolution "from building chips to helping create a new type of productive, investa

7.26 The long-simmering debate in Silicon Valley over whether AI should pursue open-source or closed-source models escalated into open conflict this week. The catalysts were the accelerating catch-up of Chinese open-source models and the dramatic twist in the Hugging Face security incident, where a Chinese open-source model played a key role in the aftermath.

7.28 On July 27, according to multiple media reports including CCTV Finance, NVIDIA is in negotiations with OpenAI regarding a financing guarantee of approximately $250 billion. The funds would support OpenAI's lease of a 10-gigawatt data center campus in Ohio, developed by a SoftBank-owned energy company.

7.3 On July 2, NVIDIA released and open-sourced Nemotron-Labs-TwoTower, a discrete diffusion language model based on a pre-trained autoregressive backbone network, designed to address LLM token generation speed bottlenecks.

6.2 This move marks Nvidia's official entry into the personal computer hardware market dominated by Apple, Lenovo, HP and Dell, with the intention of taking a share of the future home and personal smart terminal ecosystem

8.12 In 2026, AI learning has entered the "compulsory for all" stage. Article 4 of the EU's Artificial Intelligence Act explicitly requires enterprises to equip employees with adequate AI knowledge; the World Economic Forum reports that 77% of employers plan to upskill their workforce in AI by 2030. This article curates truly zero-cost or low-cost quality courses for you, with all links being official direct links.

6.3 In response to the unprecedented power and cost crisis faced by global data centers due to the outbreak of intelligent AI, Intel CEO Liwu Lip-BuTan teamed up with customized chip upstart SambaNova and OEM giant Foxconn Foxconn in his keynote speech to cast a blockbuster intended to reshape data center economics. The three parties announced that they will jointly build a production-level decoupled reasoning AI rack infrastructure for the next generation intelligent center IntelligenceCenters

7.3 On July 3, Meituan officially released its next-generation foundation model LongCat-2.0, featuring an MoE architecture with 1.6 trillion total parameters and approximately 48 billion activated parameters per token.

6.1 The technical route is locked in realizing the CPU-GPU unified memory architecture through NVLink-C2C, and reconstructing the network layer through CPO silicon photonics technology. NVIDIA is building a full-stack closed loop from chip to cabinet, from computing to network