Core Viewpoint - The rapid development of AI technology, particularly large language models (LLMs) and multimodal models, has made computing power a strategic resource for AI companies. OpenAI is transitioning from being a mere consumer of computing power to a co-designer and strategic controller of the computing ecosystem through significant hardware collaborations [5][6]. Group 1: OpenAI and Broadcom Collaboration - OpenAI and Broadcom announced a partnership to develop a custom AI accelerator with a scale of 10 gigawatts (GW), with deployment expected to start in the second half of 2026 and complete by the end of 2029 [7]. - OpenAI will lead the design of the AI accelerator and system architecture, utilizing Broadcom's Ethernet and connectivity solutions [7]. - The collaboration aims to optimize the entire technology stack for improved performance, faster model responses, and lower operational costs [7][8]. Group 2: OpenAI and AMD Partnership - OpenAI has reached an agreement with AMD to deploy a total of 6 GW of AMD GPU computing power over the coming years, using a "technology + equity" dual-driven model [9]. - AMD will issue warrants for up to 160 million shares of common stock to OpenAI, allowing OpenAI to acquire approximately 10% of AMD if all warrants are exercised [9]. - The first phase of 1 GW deployment is set to begin in the second half of 2026, utilizing AMD's next-generation AI acceleration products [9]. Group 3: OpenAI and NVIDIA Agreement - OpenAI signed a letter of intent with NVIDIA for a potential investment of up to $100 billion to support the deployment of at least 10 GW of NVIDIA AI systems [11]. - This investment will be tied to the progress of computing power deployment, with the first 1 GW expected to be operational by the second half of 2026 [11][12]. - The scale of 10 GW is estimated to be equivalent to the total computing power of 4 to 5 million top-tier GPUs, significantly surpassing any existing AI data center [11][12]. Group 4: Strategic Implications - The three collaborations collectively amount to a staggering 26 GW of computing power, indicating a major leap in OpenAI's infrastructure and capabilities by the second half of 2026 [13]. - The partnerships with both NVIDIA and AMD suggest a diversification strategy to reduce reliance on a single supplier and enhance supply chain resilience [12]. - OpenAI's collaboration with Broadcom reflects an effort to design proprietary accelerators tailored for AI workloads, achieving optimal hardware-software synergy [12].