In May 2025, M. Magdics enhanced the isaac-sim/IsaacLab repository by implementing rendering performance optimizations focused on GPU-accelerated workflows. Leveraging Python and expertise in configuration and performance optimization, Magdics enabled Fabric Scene Delegate Rendering Optimization across multiple application configurations. The technical approach included configuring Direct GPU interop to facilitate direct data transfer between PhysX and Fabric when Direct GPU mode is active, reducing transformation update latency and accelerating rendering processes. The work prioritized stabilizing and validating these optimizations, resulting in faster previews and higher frame throughput. This targeted feature improved workflow efficiency and supported higher-quality visual outputs for users.