Workflow
AI驱动的新一轮科技周期
icon
Search documents
全球AI周报:首批英伟达GB300服务器交付,Oracle宣布300亿美元订单-20250707
Tianfeng Securities· 2025-07-07 09:51
Investment Rating - The industry investment rating is "Strongly Outperform the Market," indicating an expected industry index increase of over 5% in the next six months [32]. Core Insights - Oracle announced a $30 billion order and plans to expand data centers in the U.S., with multi-cloud database revenue growing at over 100% [4][7]. - CoreWeave received the first batch of NVIDIA GB300 servers, significantly enhancing AI processing capabilities and efficiency [8]. - Figma is preparing for a major IPO, projecting $749 million in revenue for 2024, with a focus on integrating AI into its design platform [9][13]. - The AI sector is experiencing a new technology cycle driven by increased computational power, model iteration, and accelerated commercialization [4]. - ByteDance's Doubao launched a new "In-Depth Research" feature, enhancing its AI capabilities for complex task processing [22][26]. Summary by Sections Oracle - Oracle's CEO stated a strong start to FY26, with multi-cloud database revenue growing over 100% and a significant contract with OpenAI expected to contribute over $30 billion annually starting FY28 [4][7]. CoreWeave - CoreWeave announced the receipt of NVIDIA's latest GB300 servers, which enhance AI model output efficiency by up to 50 times, marking a significant advancement in AI cloud services [8]. Figma - Figma aims for a $1.5 billion IPO, with 2024 revenue projected at $749 million, reflecting a 48% year-over-year growth. The platform is embedding AI to improve design efficiency [9][13]. AI Dynamics - The AI industry is witnessing a robust cycle characterized by high demand for computational power and rapid advancements in AI applications, with major companies like Oracle and CoreWeave leading the charge [4]. ByteDance - ByteDance's Doubao introduced the "In-Depth Research" feature, which allows users to process complex tasks and generate structured reports, indicating a shift towards deeper AI application capabilities [22][26].