The NVIDIA H100 GPU is a high-performance AI accelerator designed for machine learning and deep learning tasks, offering substantial benefits in speed and efficiency for scientific and AI-focused organizations. It is priced at approximately $25,000 per unit when purchased directly from NVIDIA, though prices can vary based on volume, configuration, and vendor markups. A complete server system using multiple H100 GPUs can cost upwards of $400,000. The H100's architecture supports large-scale deployments with high bandwidth memory and optimized pathways, but its power consumption of up to 700 watts necessitates careful consideration of infrastructure needs. Due to the high upfront costs, many organizations are opting for GPU-on-demand platforms, which allow for flexible, scalable access to H100 GPUs without the need for a significant initial investment, providing a cost-effective solution for startups and businesses with variable demand. These cloud-based services offer pay-as-you-go pricing, enabling enterprises to avoid maintenance and infrastructure costs while benefiting from the latest technology, making them ideal for projects that require rapid scaling and adaptability.