Worked on the truenas/apps repository to implement Audiomuse AI GPU Acceleration, introducing GPU support and explicit GPU resource allocation configuration. This feature enables processing-intensive AI workloads to leverage GPU hardware, improving performance and laying the groundwork for scalable compute tasks. The technical approach focused on configuration management using YAML, ensuring that GPU resources could be allocated and managed efficiently within the application. Versioning was updated to reflect the scope of the changes, and clear commit messaging with co-authored attribution supported collaboration and traceability. No bugs were fixed during this period, with efforts concentrated on feature development and maintainable configuration practices.