A Generative AI tech stack comprises the tools, frameworks, and platforms required to build and deploy generative artificial intelligence models. Key components include deep learning frameworks like TensorFlow and PyTorch, pre-trained models such as GPT and DALL-E, and cloud platforms for scalability. Additional tools for data preprocessing, visualization, and deployment complement the stack. This setup enables developers to create applications for content generation, image synthesis, and conversational AI. With advancements in hardware like GPUs and TPUs, the generative AI tech stack ensures high performance and efficiency, supporting applications in industries like media, healthcare, and e-commerce.