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Free Jupyter notebook environment in the cloud.Pricing:
- Open Source
If you are playing with these kinds of tools, but you find that you're reaching the limits of your home computing power, you can go to colab.research.google.com and create a python notebook which will run on Google's high powered servers. You can also use your Google drive for storage. Even if you're not using it for a high powered application like AI, if you're a student learning, or you just want a safe virtual machine to run or test some python code on without risking your own machine, let Google do the heavy lifting.
#Development #Education & Reference #Education 209 social mentions
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Unlock our creative potentialPricing:
- Open Source
In the last few years, much of the high performance computing industry was focused on Bitcoin/Cryptocurrency, but things are changing as 2023 is shaping up to be the year of AI. With the recent advancements in things like GPT (you've probably heard of, if you haven't already used ChatGPT) and Stable Diffusion, lots of people want to play with these tools on their own computers at home, but not all of us have the horsepower to do things like training AI models which typically requires at least a high end graphics card with an accessible GPU, and usually requires quite a bit of RAM, both of which are very expensive, and sometimes hard to find (STILL, even these days).
#AI #AI Assistant #Stable Diffusion 22 social mentions