To What Extent Has Nvidia H100 Heralded A New Age of AI Computing?

Nvidia H100 GPU has made a revolutionary impact on high power computing (HPC) and AI research. It has achieved previously unthinkable abilities, primarily through architectural improvements by adding more Tensor cores and CUDA cores. This advancement has powerful computational impact in all the fields. This review paper will look deeper into H100 to evaluate its performance in heavy tasks like deep learning, running scientific simulations or processing high quantum of data in real time. A comparison of H100 GPU with the previously available chips reveals a two times increase in FLOPS rates and one and half times increase in memory bandwidth. This substantial increase in performance further increases its significance for some key areas like medical sciences, driverless cars and life sciences. Although the higher costs and energy consumption emerge as potential concerns, these chips promise excellent returns on investment, especially for research and development programs or business ventures that heavily rely on high computational power. However, long term studies will provide further data related to perormance reliability, economic viability and potential impact of optimization of algorithms on the performance of this chip.