Also important to remember that Google is years ahead of most other AI shops in that they're running on custom silicon. This makes their inference (and maybe training) cheaper then almost any other company. People don't realize this when compared to OpenAI/Anthropic where most folks are utilizing NVIDIA GPUs, Google is completely different in that aspect with their custom TPU platform.
Where I work, we primarily use Ceph for the a K8s Native Filesystem. Though we still use OpenEBS for block store and are actively watching OpenEBS mayastor
Airs are good for the general use case but some development (rust, C++) really eat cores and memory like nothing else.