Search results
22 wrz 2024 · Potential Risks and Attack Vectors. No system is perfectly secure, and Colab is no exception. Perhaps the biggest risk is inherent to executing untrusted code – if you open a malicious notebook, you are essentially giving it permission to execute arbitrary code on Google‘s infrastructure.
A lot of people appear to be [disappointed with Pro+]. There was a post yesterday in one of the subreddits I follow where the OP seemed exasperated, earnestly asking on the post if Colab Pro+ was a scam, citing they got only P100s at best - same thing you get with a $10/mo Pro subscription.
Colab users and backends are similar. Instead of attempting to restrict access to IPs, you'll want to restrict access to particular Google accounts, perhaps using typical Drive file ACLs.
Yes, overall I think Google Colab has gotten worse. The free version isn't what it used to be and Pro+ is almost useless, even worse than free. I am now signed up with regular Pro and, in my experience, it is the best option. I consistently get P100s and can run for 20 hours a day.
I'm not sure I've ever encountered a malicious notebook, but I guess easiest malice would be to steal, modify or remove files from your Drive, or steal some access/API keys that you specifically write/paste in the notebook.
12 maj 2023 · The key differentiator of Google Colab is its ease of use; the distance from starting a Colab notebook to utilizing a fully working TPUs cluster is super short. Colab's common usage flow relies heavily on G-Drive integration, making complicated actions like authorization almost seamless.
5 gru 2023 · Multiple Data Sources. Google Colaboratory supports various data sources for your ML and AI training projects. For example, you can import data from a local machine, mount Google Drive to a Colab instance, fetch remote data, and clone the GitHub repo into Colab.
