The convergence of AI, quantum computing, and high-performance GPUs signifies a transformative era in application development and deployment, extending beyond iterative research to full-scale production. This talk delves into the dual challenges faced by both developers and administrators. For developers, the focus is on iterating quickly, scaling experiments, and commercializing production-ready AI and quantum applications that leverage the full spectrum of high compute resources, including on-premises systems to cloud infrastructure. For administrators of HPC centers, data centers, and quantum systems, the challenge lies in managing the heterogeneity of these diverse and powerful resources, ensuring seamless access, optimal scheduling, and orchestration. Both developers and administrators need to navigate the complexities of integrating and utilizing various high compute environments, from real-time data processing and AI inference to complex quantum computations. These applications now require new paradigms in usage and management, demanding cohesive strategies to handle queues, scheduling, and resource allocation. This discussion provides a comprehensive understanding of the evolving landscape, emphasizing the need for robust infrastructure management and innovative approaches to support the next generation of scalable, high-performance applications.
William Cunningham, Head of HPC, Agnostiq
