Aerospace and Defense Leaders Discuss AI Surrogate Modeling in FedRAMP-Compliant Cloud HPC Environments

At the SC24 supercomputing conference, a panel of Aerospace and Defense leaders, including representatives from Lawrence Livermore National Laboratory, the Department of Defense, Northrop Grumman, and BAE Systems, discussed the integration of AI surrogate modeling in FedRAMP-compliant cloud HPC environments. They highlighted the benefits of high-precision FP64 GPUs and differentiable computing in improving computational accuracy and efficiency, particularly in fields like computational fluid dynamics and structural analysis. The panelists shared their experiences with AI adoption, emphasizing the need for flexible strategies and collaboration while addressing challenges such as cybersecurity threats and the evolving talent gap in the HPC sector. They also explored the strategic implications of AI for national security, underscoring the importance of real-time combat simulations and the need for securing cloud-based HPC environments against sophisticated cyber attacks. The discussion concluded with a focus on recruiting and mentoring future HPC leaders, noting the transformation of traditional roles due to the convergence of AI, cybersecurity, and cloud technologies.