Core Insights - Nvidia's CEO Jensen Huang announced new partnerships and dismissed concerns about an "AI bubble," stating that the company's latest chips could generate up to $500 billion in revenue [2] - The GTC conference in Washington showcased Nvidia's expanding collaboration network, including partnerships with Uber, Palantir, and CrowdStrike, and highlighted the launch of a new system connecting quantum computers with AI chips [2][3] - Nvidia's flagship AI accelerators, "Blackwell" and its updated model "Rubin," are expected to drive unprecedented sales growth by 2026 [2][3] Partnerships and Collaborations - Nvidia plans to invest €1 billion (approximately $1.2 billion) in a data center in Germany in collaboration with Deutsche Telekom and has recently signed an investment agreement with Nokia [2] - The company is also working with Lucid to develop an autonomous driving platform and with CrowdStrike to create an AI cybersecurity system [5] - A partnership with Eli Lilly aims to build a powerful supercomputer for the pharmaceutical industry, utilizing over 1,000 Nvidia Blackwell AI accelerator chips [4] Market Position and Competition - Nvidia's latest generation of chips is expected to ship 20 million units, a significant increase compared to the 4 million units sold of the previous "Hopper" chip [3] - Despite Nvidia's dominance in the AI accelerator market, competition is intensifying with AMD and Broadcom entering the field, and companies like Qualcomm announcing plans to enter the AI accelerator market [4][6] - Nvidia's stock rose 5% following the conference, closing at a record $201.03, while AMD's stock has more than doubled this year, indicating investor optimism about AMD as a competitor [3][6] Economic Impact and Future Outlook - Huang emphasized that AI is reshaping the global economy and that current investments in computing infrastructure are justified [6] - The company is seeking assistance from the White House and Congress to restore AI chip exports to China, which have resulted in significant revenue losses [6] - Nvidia's efforts to position itself as a key supplier for sovereign AI systems globally reflect its ambition to expand its influence beyond the U.S. market [6]