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3 key takeaways from Nvidia's earnings: China blow, cloud strength and AI future
NvidiaNvidia(US:NVDA) CNBCยท2025-05-29 12:59

Core Insights - Nvidia reported a strong fiscal first-quarter earnings with a sales growth of 69% driven by demand for GPUs in artificial intelligence applications [3][4] - The company anticipates $45 billion in chip sales for the July quarter, but U.S. export controls on its H20 chip are expected to result in a loss of approximately $8 billion in potential sales [4][5] - Nvidia's CEO highlighted that China represents a $50 billion market that is currently inaccessible due to U.S. restrictions, which he believes are misguided and could push Chinese developers towards local alternatives [5][6] Sales and Market Dynamics - Nvidia's data center revenue reached $39.1 billion, with cloud providers accounting for about half of this revenue [9] - The latest Blackwell chips comprised 70% of Nvidia's data center sales, with significant deployments already made by major cloud providers like Microsoft [10][11] - The company is preparing to launch Blackwell Ultra, an upgraded version of its chip, which is expected to enhance performance and memory [11] Future Outlook and AI Demand - Nvidia is shifting focus from training AI models to inference, which is generating new demand for its GPUs as AI models require significantly more computing power [12][13] - The CEO noted a sharp increase in inference demand, with major companies like OpenAI, Microsoft, and Google experiencing substantial growth in token generation [14] - Nvidia's latest chips are designed to meet the increasing computational needs of modern AI models, which require extensive processing capabilities [13][14] Strategic Concerns - The CEO expressed concerns about the impact of U.S. export controls on Nvidia's business, emphasizing the importance of global technology leadership in the AI sector [16][17] - He indicated that the AI race extends beyond chip production to the overall technology stack, which includes advancements in 6G and quantum computing [17]