- As artificial intelligence permeates various industries, Nvidia (NVDA) and Taiwan Semiconductor (TSM) are making significant strides in the sector.
- Both companies have recently reached new buy points, indicating a potential extension of their influence in the AI industry.
- “We are entering an AI-empowered world, where artificial intelligence not only runs in data centers, but PCs, mobile devices, automobiles and even the Internet of Things,” said TSMC CEO C.C. Wei.
Discover how Nvidia and Taiwan Semiconductor are leading the charge in the AI industry, and what their recent developments mean for the future of AI technology.
Nvidia and TSMC: Driving AI Innovation
In March, TSMC and systems design solutions leader Synopsys (SNPS) announced their move into production with Nvidia’s computational lithography platform. This collaboration aims to push the boundaries of physics for the next generation of advanced semiconductor chips, a cornerstone of chip manufacturing.
TSMC: Powering the Next Generation of AI
Last month, TSMC unveiled more innovations at the 2024 North America Technology Symposium, including its newest semiconductor process and advanced packaging technologies. These developments are set to power the next generation of AI innovations. TSMC also announced plans to build a third leading-edge fab in Arizona, increasing its total capital expenditure for the Phoenix site to over $65 billion.
TSM Stock and Nvidia: Potential Breakout
Nvidia has formed a pattern with a 974 buy point, and after jumping back above its 50-day moving average, the stock closed Wednesday’s session 7% below that entry. Taiwan Semiconductor stock, on the other hand, has crafted a double bottom, a common chart pattern in choppy markets. Currently, TSMC trades above the 50-day line and just 3% below the 148.43 buy point.
Conclusion
Both Nvidia and TSMC are making significant strides in the AI industry, with new developments and innovations in the pipeline. As AI continues to permeate various industries, these companies are well-positioned to extend their influence and drive the future of AI technology.
