OpenAI也缺卡！僧多粥少，自曝内部抢卡抢到发疯

Core Viewpoint - OpenAI is facing a significant scarcity of computing power, which is critical for innovation in the AI field [1][2][4] Resource Allocation Mechanism - OpenAI has a structured yet challenging resource allocation mechanism for its limited computing resources [8] - Resources are divided between research and application sides, with major decisions made by the executive team [9][10] - Within the research domain, allocation is determined by the chief scientist and research director [12] - A team led by Kevin Park manages the reallocation of idle GPUs to meet the demands of various projects [14][15] Industry Implications - The internal competition for computing resources at OpenAI reflects the broader dynamics of the AI industry, where computing power directly influences AI capabilities [16][17] - The founder of AI chip company Groq emphasized that controlling computing power equates to controlling AI [18] - OpenAI's computing power expenditure reached $7 billion last year, and the company is now building its own data centers, achieving nearly a trillion in computing transactions [19][20] Competitive Landscape - The competition for computing resources is not only internal but also extends to the entire AI computing market [20] - Meta's CEO, Mark Zuckerberg, highlighted the importance of computing resources as a competitive advantage for researchers [22] - The future of AI development places computing power at the forefront of strategic importance [23]