Earth System Prediction relies heavily on High-Performance Computing (HPC); its needs are expanding as the demands of earth system modeling (ESM) push the limits of computational efficiency. Advances in private sector capabilities including Artificial Intelligence (AI) and cloud-based HPC may enhance the ability of academic and federal research communities to explore the constantly emerging frontiers of ESM.  Previous studies have shown the benefits and drawbacks of reliance upon proprietary systems. This session invites abstracts highlighting advances and challenges in HPC capability for research in ESM including, but not limited to, data storage, cloud computing, interconnect technology, code refactorization, computational efficiency, and evolving market-based priorities. The session seeks to incorporate industry perspectives on new architectures and capabilities, engagement with the ESM community and current ESM-related HPC.