Before the widespread availability of this type of computing, organizations built expensive prototypes to test their designs. “In fact, we went to build a prototype on a large scale and ran it until the end of our lives before deploying it to the field,” said Brandon Haugh, a basic design engineer, referring to a nuclear reactor in what worked with the United States. Marina. “It was a $ 20 million 20-year test.”
Today, Mr. Haugh is the modeling and simulation director of the California-based nuclear engineering start-up, Kairos Power, where he perfects the design of affordable and safe reactors that Kairos hopes will help accelerate the global transition to clean energy.
Nuclear power has long been considered one of the best options for carbon-free electricity production, except for its prohibitive cost. But Kairos Power’s advanced reactors are designed to produce energy at competitive costs with natural gas.
“The democratization of high-performance computing has come as far as implementation, which has allowed companies like ours to iterate quickly and move from concept to field deployment in record time,” Haugh said.
But high-performance cloud computing has also created new challenges.
In recent years, there has been a proliferation of custom-built computer chips for specific types of math problems. Similarly, there are now different types of memory and network configurations within high-performance computing. And different cloud providers have different specializations; one may be better in computational fluid dynamics, while another is better in structural analysis.
The challenge, then, is to choose the right configuration and get the capacity when you need it, because demand has risen sharply. And while scientists and engineers are experts in their domains, they are not necessarily in server, processor, and similar configurations.
This has led to a new type of specialization – high-performance cloud computing experts – and new cross-platform cloud platforms that act as a one-stop shop where companies can choose the right combination of software and hardware. Rescale, which works closely with all major cloud providers, is the dominant company in this field. It matches computer problems for companies, such as Firefly and Kairos, with the right cloud provider to provide computing that scientists and engineers can use to solve problems faster or at the lowest possible cost.