aiqbench analysis

This release streamlines the machine learning lifecycle by allowing local VS Code environments to directly execute code on managed Google Cloud Jupyter instances without context switching. The integration leverages pre-configured cloud infrastructure with libraries essential for AI workflows, effectively bridging local experimentation and high-performance compute resources. While it enhances developer productivity, the core value lies in optimizing how data science teams manage scaling ML tasks within a unified interface.