Enhanced CPU Pods Now Support Docker and Network Volumes

Switching to a Docker runtime for CPU pods offers a consistent developer experience by ensuring applications behave uniformly across local and cloud environments, eliminating the "works on my machine" problem. This transition also enhances performance with quicker startup times and less overhead compared to Kata Containers, and increased compatibility with standard container tools and workflows. Users are advised to adjust workflows by pre-building Docker images and storing them in a container registry as Docker-in-Docker is no longer supported. Additionally, CPU pods now support network volumes, which were previously exclusive to GPU workloads, providing persistent data access, seamless data sharing across multiple pods, and a cost-efficient pricing model. These improvements, available immediately, are designed to enhance the development experience, and users are encouraged to integrate them through the platform's dashboard.