OpenAI is developing a software layer to reduce its dependency on Nvidia's CUDA platform, according to a report from...

OpenAI is developing a software layer to reduce its dependency on Nvidia's CUDA platform, according to a report from Digitimes Source 21. The initiative, described as a "CUDA killer," aims to enable OpenAI's AI models to run on chips from different providers, potentially including AMD, Intel, and custom silicon. This move would give OpenAI greater flexibility in hardware procurement and bargaining power against Nvidia. Predictive markets on Manifold reflect similar expectations: a 28% probability that OpenAI will publicly share multi-chip software in 2026 Source 104, and a 93% probability that OpenAI will design a custom AI chip by 2030 Source 105. The software strategy, if successful, could reshape the AI infrastructure landscape by loosening Nvidia's grip on training and inference compute. OpenAI's ongoing hiring for compute foundation engineers and supply chain roles (Sources 119-138) further suggests investment in infrastructure independence. The immediate impact is neutral for OpenAI itself as it is a long-term strategic pivot, but it signals a potential shift in chip demand dynamics.