《 Huang Renxun invested $15 billion not to buy a company, but to bet on the entrance of AI in the next decade 》 Many people's first reaction when they see Nvidia investing $15 billion in seven companies is: NVIDIA is buying assets again But those who truly understand the industry will find that behind this is not a simple financial investment, but an early layout of an AI infrastructure war, and also a moat for building Nvidia! Because Huang Renxun knows better than most people: Future AI competition is not just about models. Whoever controls computing power, data transmission, chip supply chain, and infrastructure will have the initiative in the next stage. Now Nvidia GPU sales are booming, but problems have also emerged: GPUs are becoming increasingly powerful, AI clusters are getting bigger and bigger, Where is the next bottleneck? The answer may not be the GPU itself. But rather: Is there enough electricity? Is high-speed internet sufficient? Can the optical module keep up? Can storage and customized chips support it? So the companies invested by Huang Renxun are essentially filling in the "infrastructure puzzle" of the AI empire in advance and reinforcing and deepening NVIDIA's moat. Which 7 companies are worth investing heavily in by Lao Huang? These 7 companies cover different links in the AI industry chain: 1 Arm Holdings（ARM） A globally leading CPU architecture company. In the AI era, servers, edge computing, and intelligent devices all need more efficient chip architectures. Nvidia's focus is not on today's revenue, but on the discourse power of the future AI computing ecosystem. Stock code: ARM 2 SoundHound AI（SOUN） Focus on voice artificial intelligence technology. Future AI assistants, human-computer interaction, and intelligent cars all require more natural voice entry points. AI not only knows how to calculate, but also how to communicate. Stock code: SOUN 3 Recursion Pharmaceuticals（RXRX） AI pharmaceutical companies. Utilizing AI to accelerate drug development and compress traditional decades long R&D processes. This is an important direction for AI to penetrate into the field of biotechnology. Stock code: RXRX 4 Nano-X Imaging（NNOX） Medical imaging AI company. Utilize AI to improve the efficiency of medical image analysis. In the future, AI may not only change offices, but also hospitals. Stock code: NNOX 5 Applied Digital（APLD） AI data center infrastructure company. Training AI models requires enormous computing power, which in turn requires data centers, electricity, and space. Selling computing power may become a new infrastructure business in the future. Stock code: APLD 6 Serve Robotics（SERV） Robot company. AI will not only stay in computers, but will also enter the real world. Autonomous driving, robots, and smart devices all require an AI brain. Stock code: SERV 7 Symbotic（SYM） Warehouse automation and robotics systems company. AI+robots are changing logistics and manufacturing industries. The competition among future enterprises is not just about labor costs, but also about who has smarter automation systems. Stock code: SYM So, what is Huang Renxun really betting on? It's not the rise or fall of any particular company. But rather the infrastructure of the entire AI era. In the past Internet era, the winner controlled the traffic entrance; In the mobile Internet era, Wingaid controls the mobile phone ecosystem; In the era of AI, winners may control: Entrance to computing power Data entry Intelligent terminal entrance. NVIDIA is selling GPUs today, But what Huang Renxun is laying out is: In the next decade, the highway of the AI world. This may be the real answer behind this $15 billion investment. So, are these 7 companies worth studying carefully? Is it the true code of wealth? NVIDIA Huang Renxun in the AI era