TurbOS™ Makes CPUs & GPUs Work in Parallel

…the big cloud providers don’t do that

Parallel computing offers a significant boost in computational power by dividing complex
tasks into smaller, manageable sub-tasks that can be processed simultaneously. This
accelerated processing capability enables researchers to analyze vast datasets more
efficiently, expediting the pace of data-driven discoveries. It also provides a robust
increase in processing for Large Language Models and Machine Learning.

Additionally, parallel computing is indispensable in simulations, allowing researchers to model intricate phenomena with higher precision and reduced turnaround time. The scalability of parallel systems ensures that as research demands grow, computational resources can be easily expanded to accommodate evolving needs, providing a scalable and future-proof solution for scientific endeavors.