high performance computing

Addressing data challenges requires strategic investment in innovative tools, robust data management practices, and the use of pre-trained ML models effectively. However, the ever-accelerating pace of data generation and the need to run numerous scenarios for optimal decision-making continue to be daunting. The limitations of traditional computing capabilities often pose significant challenges in managing vast amounts of data in real time. This situation underscores the need to pivot to the next generation of computing power—high-performance computing, edge, and quantum computing modalities.

October, 2023