Xin Lang Cai Jing·2026-01-18 05:16Core Viewpoint - Nvidia, now the world's most valuable company, aims to continue its growth by aggressively hiring talent and acquiring teams to enhance its capabilities and reshape its second growth curve [1][2][3]. Group 1: Talent Acquisition Strategy - Nvidia has been systematically hiring executives from various sectors, including market, policy, research, and organizational management, to fill key capabilities [3][4]. - The company has recently appointed Alison Wagonfeld, a former Google Cloud executive, as its first Chief Marketing Officer (CMO), consolidating marketing responsibilities under her leadership [5][6][8]. - Kristin Major, a seasoned HR executive from HPE, has joined Nvidia as Senior Vice President of Human Resources, bringing extensive experience in talent management [10][12][14]. - In the quantum computing domain, Nvidia hired Krysta Svore from Microsoft, who will oversee application research and engineering in quantum technology [16][19][20]. Group 2: Acquisitions and Strategic Hiring - Nvidia's strategy includes "acqui-hire" transactions, where the company acquires startups to integrate their core teams and technologies [27][66]. - The acquisition of Nexusflow aimed to strengthen Nvidia's position in AI agents and efficient inference, bringing in key personnel including CEO Jiantao Jiao [28][29][70]. - CentML was acquired for over $400 million to enhance CUDA toolchain and model deployment efficiency, integrating its founders and engineers into Nvidia's AI software team [34][75]. - Nvidia also acquired LeptonAI to bolster its cloud computing and AI platform capabilities, with its founders joining Nvidia's leadership [36][75]. Group 3: Market Position and Future Outlook - Nvidia's revenue for the fiscal year 2025 reached $130.5 billion, more than doubling from the previous year, marking a significant growth milestone in tech history [2][47]. - The company's strategic moves in hiring and acquisitions are designed to transition from being a GPU hardware supplier to a comprehensive system-level platform provider [45][84]. - Nvidia's focus on AI inference optimization, agent deployment, and computational scheduling positions it to maintain market dominance and prepare for future AI advancements [84][85].