NVIDIA's monopoly in the GPU market has resulted in high prices and limited availability for consumers.
NVIDIA's success can be attributed to their early recognition of the potential of massive parallel computing and investment in hardware and development tools, specifically the CUDA ecosystem.
CUDA, an Nvidia API, has become the standard for AI, ML, and HPC workloads, making it difficult for developers to switch to other GPU alternatives.
To break NVIDIA's monopoly, making CUDA open-source and government intervention are seen as potential solutions.