英伟达(NVDA.US)虽然并非传统风险投资机构，但已悄然成为创投领域最具影响力的参与者之一。 智通财经APP获悉，这家全球市值最高的公司于9月宣布，计划向OpenAI投资1000亿美元——这笔交易 将成为有史以来规模最大的初创企业投资。然而，这只是英伟达在全球范围内对私营人工智能(AI)企业 日益扩大的投资布局中的一环。 除了对OpenAI的重大投资外，英伟达还支持了各类规模不一的AI公司。其中包括开发自主编程代理的 Reflection AI、研发视频分析模型的Reka AI，以及旨在挑战谷歌(GOOGL.US)地位的AI搜索引擎公司 Perplexity AI。 对这些初创企业而言，英伟达的投资不仅带来资本支持，更提供了接触其管理层和稀缺算力资源的通 道。Perplexity首席执行官Aravind Srinivas去年在一次采访中透露称，他曾向英伟达高管申请技术资源以 优化产品演示，黄仁勋当场指示团队予以支持，半小时内便解决了需求。 "我曾向其他企业的首席执行官提出过类似请求，通常这些请求会先转给部门主管或副总裁，之后他们 还会再安排一次会议，进一步了解具体的使用场景。但面对黄仁勋，事情很快就能敲定， ...

Core Insights - SandboxAQ, an AI startup spun off from Alphabet and supported by Nvidia, has launched a large-scale synthetic dataset aimed at accelerating global drug development by simulating interactions between drug molecules and proteins [1][2] - The company has raised nearly $1 billion in funding and seeks to overcome traditional laboratory research limitations by reconstructing the underlying logic of drug screening through computational power [1] Group 1: Technology and Innovation - SandboxAQ uniquely integrates computational chemistry with artificial intelligence, utilizing Nvidia's high-performance chips to create an algorithmic platform that solves quantum mechanics equations to generate 5.2 million three-dimensional molecular structures not yet observed in reality [1][2] - The synthetic dataset significantly enhances predictive efficiency, allowing researchers to quickly identify potential candidate molecules for drug targets, which traditionally would take years to synthesize and test [2] Group 2: Market Impact and Business Model - The innovative approach is reshaping the early stages of drug development, particularly in oncology, where the time and cost of developing new drugs can be drastically reduced from years to weeks [2] - While the synthetic dataset is freely available for academic use, the company commercializes the AI predictive models trained on this data, creating a hybrid model of "data open-source + model charging" that fosters foundational research while establishing a sustainable technological barrier [2]