Core Insights - Nvidia is significantly underestimated despite its market capitalization exceeding $4 trillion, indicating a larger ambition beyond just AI chips [5] - The introduction of DGX Cloud in 2023 was a strategic move to rent high-end computing power, but by 2025, its role shifted to internal infrastructure rather than a primary product for enterprise markets [6][11] - The new platform, Lepton, launched in 2025, serves as a marketplace for GPU leasing and scheduling, redirecting focus from direct competition with major cloud providers to a more collaborative approach [11][23] Summary by Sections DGX Cloud and Market Dynamics - DGX Cloud initially gained traction, achieving an annualized revenue of $2 billion by the end of 2024, but faced challenges as GPU supply improved and competitors like AWS and Azure reduced prices by up to 45% [8][9] - The direct customer model of DGX Cloud created channel conflicts with major buyers like Amazon and Microsoft, leading to concerns about long-term partnerships and potential shifts towards self-developed chips by these companies [9][11] Transition to Lepton - Nvidia's strategy evolved to focus on Lepton, which connects AI developers with a network of GPU cloud providers without directly competing with them, thus mitigating risks associated with channel conflicts [11][23] - Lepton acts as a "marketplace" for computing power, allowing users to submit requests that are matched with available resources across various cloud providers, enhancing flexibility and efficiency [21][23] Nvidia's Ecosystem Strategy - Nvidia has been investing in cloud service providers like CoreWeave and Lambda, creating a cycle of selling chips, renting back computing power, and ensuring a stable cash flow for partners while maintaining control over critical resources [13][15][19] - The approach of leveraging partnerships while maintaining a stronghold on the GPU market positions Nvidia as a central player in the AI ecosystem, akin to how Apple controls the mobile internet through the App Store [27][29] Future Outlook - The shift from hardware to a focus on "computing power" and "platform" indicates Nvidia's ambition to dominate the AI landscape, ensuring that regardless of where the computing occurs, Nvidia's technology remains integral [30]
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