AI芯片狂卷1480亿美元，但这块业务却熄火：英伟达押注制造业四年收益寥寥

Core Insights - Nvidia's AI chip business generated nearly $148 billion in revenue over the past nine months, significantly surpassing the $27.5 billion from the same period in 2023, but the company's transition to an integrated hardware-software platform has faced major setbacks [1] - The Omniverse software, which was intended to be a core tool for creating digital twins in manufacturing and logistics, has seen minimal revenue and a stalled commercialization process, leading to the decision to shut down the Omniverse Cloud service by August 2025 due to lack of demand [1][3] - CEO Jensen Huang expressed frustration over the slow progress of the Omniverse division, criticizing the team for focusing on demonstrations rather than product development, and highlighting the lack of widespread adoption by large enterprises [1][4] Revenue and Market Response - Despite the explosive growth in AI chip revenue, the market has not reacted strongly to the revenue gap from Omniverse, indicating the challenges Nvidia faces in establishing a second growth curve [2] - The inability to address software usability and industry adaptation issues may hinder Nvidia's ambitions in robotics and industrial digitalization for the long term [2] Demand and Service Closure - Omniverse was launched in 2021 as a platform for designers to collaborate on 3D designs, but the reality has fallen short of expectations, with few clients actually signing on for large-scale simulations [3] - Developers have reported that the platform is difficult to use, incomplete, and prone to crashes, leading to the termination of the cloud service project [3] Internal Pressure and Management Concerns - Huang's anxiety over Omniverse's performance is evident, as he has pressured the team to find new revenue sources and has expressed frustration in internal meetings regarding the lack of profitability and the team's focus on demonstrations [4] - The actual outcomes of collaborative projects have also led to dissatisfaction among management, particularly regarding the scale of partnerships with companies like BMW [4] Long-term Challenges and Industry Barriers - Nvidia executives compare Omniverse to CUDA, suggesting that it may take years of investment to fully realize its potential in the "physical AI" market [6] - The company faces intense competition and structural barriers in the robotics simulation field, with many large enterprises preferring to develop their own internal simulation software rather than relying on Nvidia's platform [6] - Industry-specific technical challenges and cost-effectiveness issues also pose significant obstacles to the widespread adoption of Omniverse [6][5] Development and Market Creation - Currently, Omniverse is seen as a horizontal open platform for developers rather than a complete application, indicating that Nvidia's attempt to create a market from scratch will require a lengthy nurturing period [7]