In 2020, Nissan Motor Company made a decision that surprised few engineers who had been watching the industry closely: it committed to moving its entire on-premise HPC fleet for performance and engineering simulations to Oracle Cloud Infrastructure. One of the world's largest automotive manufacturers, with the budget and scale to justify owning its own clusters, chose to hand off the infrastructure entirely. The same year, a mid-size aerospace supplier was reaching the opposi

The rising fusion of HPC, Cloud, Data, and AI is unlocking massive scientific breakthroughs, but it is also creating a paradox. While the global HPC-AI market is projected to reach nearly $120 billion by 2029, the infrastructure required to run these workloads has become incredibly intricate. This escalating technological complexity is reshaping how workflows are operated and managed, directly impacting the engineers and operators handling them. To address these shifting dyna

For decades, students prepared for their first job by acquiring technical knowledge, developing practical skills, and gaining experience through internships and projects. While these fundamentals remain important, the arrival of Artificial Intelligence (AI) is fundamentally changing the nature of work. Many students and recent graduates are concerned that AI will automate large portions of their future jobs. News headlines frequently discuss AI replacing programmers, analysts