MSBAI, a pioneering AI company, has officially secured a coveted allocation on the Department of Energy’s leadership-class supercomputers through the ASCR Leadership Computing Challenge (ALCC) program. According to certain reports, this will basically accelerate the development of MSBAI’s groundbreaking autonomous system called GURU, a system designed to dramatically reduce modeling and simulation setup time from hours to minutes. Talk about the given autonomous system on a slightly deeper level, along with how it fits in the context of US’ energy-themed goals, we begin from its goal to accelerate clean energy innovation. Here, users can leverage GURU’s ability to streamline complex simulations, and they can do so for the purpose of facilitating faster development of advanced reactor designs. Such a feature becomes absolutely crucial once you take into account White House’s target of 100% carbon pollution-free electricity by 2030. Next up, we have a prospect dedicated towards improving upon US’ competitiveness. This prospect, like we briefly touched on, translates to how users can dramatically reduce the time and expertise required for advanced simulations. Such a capability empowers GURU to democratize access of high-performance computing (HPC), and therefore, potentially unlock over $30 trillion in new product revenues across multiple industries. Another detail worth a mention would include MSBAI latest brainchild’s ability to advance AI technologies at scale. You see, marking the introduction of a new dimension in regards to AI, GURU pushes the boundaries currently circling AI applications in scientific computing, thus greatly aiding DOE’s mission to lead in artificial intelligence research and development.
“This ALCC award is a game-changer for our development of GURU. By harnessing the power of DOE’s world-leading supercomputers, we’re poised to make even more unprecedented leaps in AI-driven engineering design and simulation,” said Allan Grosvenor, Principal Investigator at MSBAI.
Rounding up highlights would be the pledge to facilitate workforce development. In essence, this feature has GURU’s user-friendly interface arriving on the scene with potential to address the critical shortage of simulation experts. By doing so, such a pledge will try and expand the pool of engineers who have the required knowledge to leverage advanced modeling tools at scale.
Among other details, we must mention how the whole effort is going to transpire as a part of one project called “Autonomy for DOE Simulations,” which will collectively leverage 100,000 node-hours on the Frontier exascale system at Oak Ridge National Laboratory. Not just that, it will also leverage 30,000 node-hours on Aurora at Argonne National Laboratory. Hence, given such an extensive computing power in play, the program will have a viable shot at driving advancements in hybrid interaction, skills agent learning, as well as geometry search and synthesis, each one markedly a key component of GURU’s AI-driven workflow automation.
