Hey there! Let me break this down clearly for you:

• Short answer: No, each running Google Colab notebook operates in its own isolated runtime environment—they don’t share CPU, GPU, memory, or storage resources by default.
• What this means in practice:
  • Every time you start a notebook, Colab spins up a dedicated virtual machine (VM) just for that session. This VM has its own allocated resources (RAM, CPU cores, GPU if you’ve opted for it) that are completely separate from any other notebooks you have running.
  • If you have multiple notebooks going at once, each uses resources from its own independent VM. So one notebook hogging memory won’t directly slow down another. That said, Google does enforce overall limits on how many concurrent runtimes you can have, and heavy usage across multiple notebooks might trigger throttling or session termination for all of them.
  • Storage is also isolated: Any files you upload or generate in one notebook’s runtime won’t be visible in another unless you set up shared storage (like mounting Google Drive in all the notebooks you want to share files with).
• Pro/Pro+ note: Even with a paid Colab plan, the isolation between notebooks remains. You’ll get access to higher resource limits per VM, but each notebook still runs in its own separate environment.

内容的提问来源于stack exchange，提问作者Christo S. Christov