In this post, you will get information regarding the online Jupyter notebooks platform (GPU-based) which you can use to get started with both, machine learning and deep learning. The list consists of both freely available and paid options of online Jupyter notebook available with GPUs. When starting with GPUs, it is recommended to use rented options available online rather than buying your own GPU servers. There are online GPU Linux servers available (free and paid options) that can be used to train deep learning & machine learning models. I will be writing about it in my next post.
Here is the list of Jupyter notebook platforms that could be used for training deep learning models:
Fig 1. Google colab change runtime to GPU
Here are few cautions you would need to take when running paid GPU notebook servers:
In this blog, you would get to know the essential mathematical topics you need to…
This blog represents a list of questions you can ask when thinking like a product…
AI agents are autonomous systems combining three core components: a reasoning engine (powered by LLM),…
Artificial Intelligence (AI) has evolved significantly, from its early days of symbolic reasoning to the…
Last updated: 25th Jan, 2025 Have you ever wondered how to seamlessly integrate the vast…
Hey there! As I venture into building agentic MEAN apps with LangChain.js, I wanted to…
View Comments
Thanks, @Ajitesh Kumar for writing this post. You can also check out jarvislabs.ai the 1-click GPU Cloud platform which also has modern GPUs like A100, A6000, and RTX5000/6000 at unseen prices with pay-per-minute billing.