The technological giant Nvidia has announced an ambitious plan to design and build factories in the United States in collaboration with important manufacturers such as TSMC, Foxconn, Wistron, Amkor and Spil.
The objective of this initiative is to produce up to 500,000 million dollars (440,215 million euros) in artificial intelligence infrastructure in the country during the next four years.
Strategic alliances for the manufacture of AI supercomputers
Nvidia has revealed that she is working closely with her manufacturing partners to establish facilities that will allow the production of NVIDIA supercomputers in its entirety on US soil. This decision represents a significant milestone for the company, since it is the first time that this process in the US will be carried out.
Production in progress in TSMC plants and expansion plans in Texas
Nvidia Blackwell chips are already being produced at TSMC facilities in Phoenix, Arizona. In addition, the company is working on the construction of supercomputer manufacturing plants in Texas, in collaboration with Foxconn in Houston and Wistron in Dallas. Mass production in these plants is expected increases in the next 12 to 15 months, which will boost Nvidia production capacity in the country.
Complexity of the supply chain and key associations
Nvidia has highlighted the complexity of the AI and Supercomputers Supercomputers, which requires manufacturing, packaging, assembly and avant -garde test technologies. To address these challenges, The company has established strategic associations with Amkor and Spil To carry out packaging and test operations in Arizona, thus guaranteeing the quality and efficiency of its products.
NVIDIA CEO statements
Jensen Huang, founder and CEO of Nvidia, has expressed his enthusiasm for this pioneering project in the United States, stating: «The world infrastructure engines are being built in the United States for the first time «. In addition, Huang has pointed out that the integration of manufacturing in the country will allow the company to meet the growing demand for AI chips and supercomputers, strengthen its supply chain and increase its resilience in an increasingly competitive market.