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NVIDIA’s reported $100B infrastructure-oriented arrangement with OpenAI has been put “on ice,” with negotiations said to be shifting away from a complex hardware-leasing/buildout model toward a simpler equity-style investment. Reporting indicates CEO Jensen Huang has emphasized the original MOU was non-binding and has privately raised concerns about OpenAI’s commercial discipline and a more competitive AI landscape, citing momentum from rivals such as Google Gemini and Anthropic.
Separately, NVIDIA publicly pushed back on U.S. government allegations that it provided technical assistance to DeepSeek to improve AI training efficiency, arguing it would be “nonsensical” for China’s military to depend on American technology and framing criticism as benefiting foreign competitors. The related reporting notes the company did not directly address specific claims tied to DeepSeek’s training (including references to NVIDIA H800 usage in DeepSeek’s technical materials). An additional opinion piece argues U.S. advantage in the AI race hinges on cybersecurity and trust rather than model capability alone, but it does not provide incident-specific or vulnerability-specific details tied to NVIDIA, OpenAI, or DeepSeek.
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A Wall Street Journal report cited on February 2 said Nvidia's previously announced $100 billion initiative to support OpenAI's compute buildout had stalled, with the companies reportedly shifting toward a simpler arrangement that could involve Nvidia taking a multi-billion-dollar equity stake instead.
Nvidia issued a public statement calling it 'nonsensical' for China's military to depend on American technology and pushed back on allegations that it provided technical assistance to DeepSeek, while arguing U.S. firms should be allowed to compete for vetted commercial business in China.
Reuters reported that Rep. John Moolenaar, chair of the House Select Committee on China, sent a letter to Commerce Secretary Howard Lutnick alleging Nvidia personnel helped DeepSeek improve training efficiency through optimized co-design of algorithms, frameworks, and hardware.
Security Online says Nvidia made a reported $10 billion commitment to Anthropic in November as part of a diversification strategy amid intensifying AI competition.
Documents later cited by U.S. lawmakers alleged that DeepSeek-V3 was trained during 2024 using Nvidia H800 GPUs, with an internal report stating the full training run consumed 2.788 million H800 GPU-hours.
According to a Wall Street Journal report cited by Security Online, negotiations over the previously announced Nvidia-OpenAI compute infrastructure deal languished for months and the arrangement was put on ice as the parties reconsidered its structure.
Nvidia and OpenAI previously entered a non-binding memorandum of understanding at Nvidia's Santa Clara headquarters for a hardware-leasing and construction initiative aimed at building at least 10 GW of compute capacity.
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Nvidia’s AI hardware business faced continued uncertainty in China as CEO **Jensen Huang** said Beijing had not yet approved imports of the **H200** GPU and confirmed that **no new H200 orders** were being placed while regulators decide. In parallel, Chinese GPU vendor **Shanghai Iluvatar CoreX** publicized a four-generation roadmap positioning its architectures (including *Tianshu* and successors) as domestic alternatives intended to compete with and ultimately surpass Nvidia’s Hopper/Blackwell and target Nvidia’s future **Rubin** platform by 2027, underscoring China’s push to reduce reliance on Western AI silicon. Outside the China licensing issue, Nvidia-related coverage also highlighted expansion and productization of AI compute: a report claimed Nvidia invested **$2B** in **CoreWeave** to support buildout of a planned **5GW “AI factory”** ecosystem by 2030 using multiple Nvidia platform generations (including **Rubin**, *Vera* CPUs, and *BlueField*). Separately, a review of *Nvidia DGX Spark* described a local AI development system built around the **GB10 Superchip**, reflecting growing demand for on-prem/local inference and development hardware as model sizes and VRAM requirements increase. Intel also outlined a separate, non-Nvidia event: a planned “hybrid” AI processor concept combining **x86 CPUs**, a fixed-function AI accelerator, and programmable logic for inference-focused workloads.
Jun 29, 2026
Reporting and commentary highlighted intensifying **U.S.–China competition in AI** driven less by capital and more by access to advanced compute and the ability to shape global AI governance. In China, a wave of Hong Kong IPOs raising **more than $1B** for domestic AI firms was framed as a confidence signal, but industry leaders warned that funding alone cannot close the gap with leading Western labs; Alibaba *Qwen* leadership reportedly assessed China’s odds of “leapfrogging” **OpenAI** and **Anthropic** via fundamental breakthroughs as **below 20%**, citing structural constraints such as compute availability and ecosystem maturity. Separately, policy analysis argued China is expanding international influence through **AI capacity-building diplomacy**, including a **UN General Assembly resolution** on AI capacity-building (co-sponsored by 140+ countries) and initiatives like training workshops, governance action plans, and infrastructure support aimed at the Global South—while warning the U.S. risks ceding agenda-setting power if it cannot sustain consistent engagement. A third piece captured **Nvidia CEO Jensen Huang** publicly pushing back on “doomer” narratives and the idea of imminent “god AI,” emphasizing current systems’ limits; while not a cybersecurity incident, it reinforces the broader theme that near-term AI outcomes are constrained by practical factors (capability limits and compute), not hype alone.
Jun 29, 2026
China reportedly began approving imports of high-end *Nvidia* AI GPUs (including the **H200**) after weeks of uncertainty, with initial licenses expected to prioritize major Chinese internet companies building large AI data centers. Reporting cited by Reuters and the *South China Morning Post* indicates Beijing is attaching restrictive, not-yet-finalized conditions to these licenses—potentially including requirements to bundle purchases with domestic chips—reflecting an effort to balance near-term demand for leading accelerators with longer-term goals of strengthening China’s indigenous semiconductor ecosystem. In parallel, Chinese leader **Xi Jinping** publicly framed AI as an “epoch-making” technological transformation and called for faster progress in domestic development via a “whole-of-nation” approach, positioning AI as central to China’s upcoming 15th Five-Year Plan (through 2030). While not a discrete cybersecurity incident, the combined reporting is relevant to security leaders because it signals continued geopolitical pressure on AI supply chains and potential compliance, procurement, and third-party risk impacts for organizations operating in or selling into China’s AI infrastructure market.
Jun 29, 2026