---
格式版本: 2
标题: "Jensen Huang Still Settles Fights Over Nvidia's AI Chips: Auto Chief - Business Insider"
原文链接: "https://www.businessinsider.com/jensen-huang-settles-fights-over-nvidias-ai-chips-auto-chief-2026-7"
发布日期: "2026-07-15"
发布时间校准状态: "found"
发布时间来源: "llm:strict_original_body"
发布时间证据: "div class=timestamp label-md: Jul 15, 2026, 8:25 AM ET"
发布时间校准原因: "候选日期位于标题下方时间戳区域，符合文章发布时间特征，非会议或事件日期。"
发布时间校准置信度: "100"
发布时间候选数量: 7
发布时间严格候选数量: 2
发布时间原页读取状态: "原页面来自已抓取 HTML"
发布时间未找到原因: "候选日期无效或 LLM 未确认"
发布时间校准时间: "2026-07-17T16:38:00+08:00"
发现时间: "2026-07-17T15:03:55+08:00"
入库时间: "2026-07-17T08:40:04.854Z"
来源平台: "Tavily（AgentKey）"
搜索渠道: "tavily_web"
搜索词: "Compute tray"
匹配关键词:
  - "GPU"
相关厂家:
  - "NVIDIA"
  - "Meta"
  - "Microsoft"
  - "OpenAI"
相关专家:
  []
内容类型: "网页"
抓取工具: "AgentKey Scrape"
清洗工具: "AgentKey Markdown + LLM 正文裁剪"
原始附件:
  []
图片摘要:
  - "✓ ./assets/img-af9116a9.webp | photo | Nvidia CEO Jensen Huang照片，文章讨论其介入内部AI芯片分配争端。"
  - "✗ ./assets/img-58d3e542.png | ad | 广告/推广内容（游戏推荐），与正文无关"
  - "✗ ./assets/img-b6a1b3dc.webp | photo | 作者头像，属于装饰性/元数据配图，与正文主题无直接信息关联"
AI优质: "否"
AI打分: 18
AI分档: "非优质"
AI质检状态: "不通过"
AI打分理由: "正文为Nvidia内部GPU资源分配与自动驾驶业务的报道，未涉及超节点/AI Rack/机柜级系统、架构、供电、散热、互连等核心技术或量产落地信息，与项目关注范围无关。"
AI质检模型: "deepseek-v4-flash"
AI质检时间: "2026-07-30T01:05:13+08:00"
AI主题相关性: 3
AI来源权威性: 10
AI新颖性: 2
AI技术细节: 1
AI商业部署信号: 2
AI完整性: 0
采集批次: "2026年7月17日15点03分52秒"
采集批次ID: "20260717-150352-345"
去重键: "https://www.businessinsider.com/jensen-huang-settles-fights-over-nvidias-ai-chips-auto-chief-2026-7"
---

Nvidia CEO Jensen Huang. Chung Sung-Jun/Getty Images

Save Saved

Even Nvidia isn't immune to the AI chip shortage.

The company's automotive division still has to compete internally for access to the GPUs that have made Nvidia the world's most valuable company, according to Xinzhou Wu, Nvidia's head of automotive.

"Even at Nvidia, basically we do have a limited [supply of GPU](https://www.businessinsider.com/nvidia-groq-gpus-ipus-hot-commodity-ai-2026-1) for compute," Wu said in an episode of The Verge's "Decoder" podcast that aired on Monday.

As demand for [Nvidia's chips](https://www.businessinsider.com/nvidia) continues to surge from AI companies building massive data centers, Wu said different teams across the company regularly compete for computing resources needed to train and test their own AI models.

"We have an internal priority, and I'm working with my colleagues basically almost on a weekly basis to decide how to set aside this different compute, sometimes for training, sometimes for test resources for different threads of work in the company," Wu said.

"And sometimes we need Jensen to help," Wu said of the company's CEO, Jensen Huang.

The comments offer a rare glimpse into how Nvidia allocates resources inside a company whose GPUs have become the backbone of the [generative AI boom](https://www.businessinsider.com/goldman-sachs-ai-boom-profit-problem-semiconductor-chip-companies-investment-2026-6). Demand for its chips has consistently outpaced supply as companies, including OpenAI, Microsoft, Meta, xAI, and Amazon, race to build ever-larger AI models.

Wu said decisions aren't driven solely by near-term revenue.

"It's all of the above," he said when asked how those trade-offs are made. Nvidia balances current business needs with long-term strategic opportunities, including what Huang calls "the zero trillion dollar business" — entirely new markets that could eventually be worth trillions of dollars, Wu said.

One of those bets is autonomous driving.

Wu said Nvidia believes "everything that moves will be autonomous" and is investing heavily in supplying chips, software, AI models, simulation tools, and safety systems for [self-driving vehicles](https://www.businessinsider.com/nvidia-gains-self-driving-cars-automotive-ai-technology-toyota-aurora-2025-1). While the automotive business remains much smaller than Nvidia's booming data-center division, Huang continues to prioritize it.

"We are strong believers — Jensen himself as well — of the AV \[autonomous vehicle\] future," Wu said. "We are keeping investing basically in this technology and in this future, not only from allocating external compute but from fab capacity as well."

Wu also said that even semiconductor manufacturing capacity has become another internal battleground as demand for Nvidia's chips continues to soar.

![Nvidia CEO Jensen Huang a roundtable with South Korean AI and robotics startups at the Shilla Hotels in June 2026 in Seoul, South Korea](./assets/img-af9116a9.webp)
