Most users struggle to see the full value of a product within the first 14 days (if ever).
That's why we built UserGuiding, a no-code product adoption platform that helps increase activation & retention and reduce churn using many in-app walkthroughs and widgets as well as standalone Knowledge Base and Product Updates pages. Provide your users all the self-serve help they need throughout their journey, and also gather valuable insights and feedback from them with our in-app surveys to give you direction and improve your product development.
The best part? You can do it all without breaking the bank and with zero technical expertise, thanks to our drag-and-drop interface.
Try UserGuiding today to give your product adoption a huge, instant boost.
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Based on our record, AWS Deep Learning AMIs should be more popular than UserGuiding. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I do some work with https://userguiding.com/ and I find them to be a good compromise between features and pricing. It's one of the more affordable user onboarding platforms out there but comes in packed with functionalities, and it looks nice, too. Source: over 2 years ago
Use user guides to onboard customers flawlessly (https://userguiding.com/). Source: over 3 years ago
AWS Deep Learning AMIs can be used to accelerate deep learning by quickly launching Amazon EC2 instances. - Source: dev.to / over 2 years ago
Ok a bit more on topic of your question. Set up a docker locally on your computer, pick a relevant image with all the python stuff and then do pip install -r requirements -t ./dependencies zip it up, upload to S3 and then get it from there and use on the EC2 instance. Or look into using Deep Learning AMIs they should have pytorch installed: https://aws.amazon.com/machine-learning/amis/. Source: about 3 years ago
Literally nothing stops you from running EC2 instance with GPU and configuring it yourself. There are even AMIs specialized for ML workloads with everything preconfigured and ready to use - https://aws.amazon.com/machine-learning/amis/. Source: about 3 years ago
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