Bloomberg's internal and enterprise compute and data science platforms were established to support development efforts around data-driven compute, machine learning, and business analytics. Both the Data Science Platform and BQuant are solutions that aim to provide scalable compute, specialized hardware and first-class support for a variety of workloads such as Spark, PyTorch and Jupyter. These solutions are built using containerization, container orchestration and cloud architecture. As the needs of distributed compute, machine learning, data exploration and analysis advance, so do the needs of the compute solution that underscores it. Accentuated by the widespread success of Large-Language-Models and AI initiatives across Bloomberg, these platforms are poised for contin