Generative AI requires significant amounts of computational power and storage, and often involves the use of specialized accelerators such as GPUs. Also, high-speed networking solutions are important to minimize latency during distributed training. By carefully considering these requirements, businesses can build and deploy generative AI models that are fast, efficient, and accurate.