Nvidia stock fell slightly on Friday as the chipmaker continued to expand its global artificial intelligence footprint through new partnerships, product initiatives and growing demand for its next-generation processors.
Nvidia NVDA shares fell 0.18% in trading.
This slight decline comes despite a series of developments that underscore the company’s efforts to strengthen its position in AI infrastructure markets, both within and outside the United States.
The company has reportedly started notifying Chinese customers that they can place orders for its new Vera central processors, with deliveries possibly beginning in August.
The move could give Nvidia new access to the Chinese market, where export restrictions have limited sales of some of its advanced AI products.
According to Reuters, a major Chinese cloud provider is preparing an initial order for more than 300 servers equipped with Nvidia Vera chips.
Customers should first test systems in overseas data centers before deciding on possible larger-scale deployments.
Nvidia apparently sees Vera as a $20 billion revenue opportunity by the end of its fiscal year in January.
Unlike graphics processing units, which are still subject to stricter American export restrictions, the processor business could encounter fewer regulatory obstacles.
Nvidia expands AI infrastructure partnerships
Beyond China, Nvidia continues to expand its reach via major AI infrastructure deals.
Australian cloud infrastructure provider SharonAI Holdings has announced a six-year partnership with Nvidia to build 72 megawatts of new data center capacity across Australia.
The project will deploy up to 40,000 Nvidia AI processors to support startups, enterprises and academic researchers.
Under the agreement, Nvidia will receive revenue from processor sales as well as a share of cloud revenue generated by SharonAI’s hosting services.
Other signs of demand are emerging globally. Nebius Group plans to invest approximately $2.275 billion in next-generation facilities in the UK powered by Nvidia’s Vera Rubin products.
Meanwhile, Nvidia’s partnership with SK Telecom aims to build AI-capable cloud infrastructure in South Korea, focused on both training and inference.
“Inference is crucial to the outlook because it is the application of AI and a much larger market segment than infrastructure and training,†Nvidia CEO Jensen Huang previously noted, highlighting the growing importance of deploying AI beyond the development of models.
Analysts remain optimistic about AI demand
Analysts continue to express confidence in Nvidia’s prospects after recent industry events, including the Taiwan Computex conference.
Analysts at Wedbush and UBS believe demand for GPUs remains strong while supply capacity continues to lag, creating favorable conditions for Nvidia in the coming quarters.
Wedbush also suggested that the AI hardware upgrade cycle could accelerate, as demand for Nvidia’s Blackwell platform remains stronger than expected late in the product cycle.
The company is currently followed by 54 analysts, with around 95% maintaining Buy recommendations.
Supply chain investments support long-term strategy
Nvidia also continued to invest in technologies designed to strengthen its AI ecosystem for the long term.
One of its latest acquisitions is Kumo AI, an enterprise-focused predictive agent platform that helps predict operational needs using customer data.
The technology is expected to complement Nvidia’s broader physics AI strategy, particularly for warehouse automation applications.
At the same time, Nvidia continues to invest heavily in future production capacity and the resilience of its supply chain.
While constraints persist across the industry, analysts view Nvidia as one of the companies best positioned to manage potential shortages and meet rising demand for AI.
