Jensen Huang, the founder and CEO of Nvidia, dismissed claims during the annual developer conference, asserting that Nvidia was not involved in discussions to take over Intel's chip manufacturing operations. He labeled the claims as false, stating, "If there’s a party, nobody invited me."

Last week, Reuters reported that Taiwan's semiconductor company TSMC was in negotiation with Nvidia, AMD, and Broadcom to establish a joint venture for controlling Intel’s chip production, given the company's persistent operational difficulties.

In response, Huang categorically rejected the rumors, remarking, "I don’t know where this came from. No one invited me to the party. Maybe others are involved, but not me."

Huang also touched on the recently imposed export restrictions on AI chips by the Biden administration in its final days. The restrictions classify countries into three tiers.

Countries in the first tier, including the United States and 17 others such as Belgium, Canada, Australia, Denmark, France, Germany, and the UK, will not encounter export restrictions. Conversely, countries in the third tier—like China, Russia, Iran, and North Korea—face a total ban on AI chip exports.

150 nations, including Poland, Mexico, Israel, Singapore, and the United Arab Emirates, fall into the second tier, where AI chips can still be exported, but under specific computing power limits.

When questioned about these export controls, Huang stated, "In the long run, I believe AI is a technology needed by all countries, industries, and companies.

AI has already entered the mainstream. We discuss AI as if it’s some extraordinary technology, but it’s simply software. Every nation will be able to run software. If feasible, we would love to support every country with American technology and standards. It is beneficial for countries to access the necessary computing power, and it is advantageous for the United States as well."

In terms of the impact of Trump's tariffs on Nvidia, Huang conveyed that the effect would be negligible.

"We have a highly adaptable supply network. Not just in Taiwan, Mexico, or Vietnam, but in various locations. It’s a complex situation that depends on which countries the tariffs are placed upon. Therefore, in the short-term, we don’t anticipate any significant repercussions for our operations. In the long run, we aim to preserve our flexibility through local production. If we integrate local production into our supply chain by the year's end, our condition will be quite favorable. We possess the capability to manufacture a substantial amount in the U.S. Not everything, but a significant portion."

Huang also elaborated on Nvidia's strategy concerning the export restrictions on chips to China, which were introduced by the Biden administration in the fall of 2023. He emphasized, "We have a core commitment to conduct our business, adhere to the law, and strive to compete and serve our customers. As the world grows more intricate, we must abide by the law and do our utmost to serve customers and markets. 50% of the world's AI researchers are based in China. The second place isn’t even close. Hence, it's logical for there to be a substantial contribution to AI research from China. Every AI lab in the U.S. has numerous outstanding Chinese researchers, without exception. China produces many exceptional computer scientists, so please keep doing that."

Finally, Huang tackled the substantial energy requirements needed for developing AI data centers. He argued that the narrative surrounding AI's energy consumption was misplaced. "AI represents a new manufacturing industry. And manufacturing consumes energy. The real question is whether a nation wishes to produce AI. If the answer is affirmative, energy is essential. Among all the sectors consuming energy, what should we prioritize for production? Cement? Steel? Agriculture? AI? That's a straightforward question."

Under Jensen Huang’s leadership, Nvidia continues to strengthen its role as a frontrunner in the AI and GPU market. The company is acknowledged for its groundbreaking work in AI, deep learning, and high-performance computing. Huang’s comments at the conference reflect the firm’s strategy in addressing global issues, including international relations, technological innovation, and supply chain adaptability.

Nvidia’s emphasis on AI and machine learning has established it as a pivotal entity in data center development, AI research, and high-performance computing. Huang's remarks highlight the significance of maintaining a versatile, diversified supply chain and the necessity for global cooperation in AI research and development.

As the company confronts regulatory challenges, such as trade restrictions and export controls, it remains dedicated to worldwide expansion of its technology and standards, ensuring that countries and industries have access to necessary computing power.

The company's vision for AI is in line with a future where nations and industries can fully exploit the potential of artificial intelligence while navigating the complexities of the global technological landscape.