There are several paid features that are offered free by other platforms. Why is it on the 5th? The GPU is not available most of the time and the UI is buggy and slow. The user interface is quite beautiful and it's easy to navigate. It also provides free CPU and GPU for notebooks. It provides end-to-end MLOps solutions including model and data storage, deployment solution, and monitoring. Gradient by Paperspace is a cloud platform that focuses on the machine learning domain. You only get free compute, storage, and all of the capabilities of Jupyter lab and its extensions. The Studio Lab architecture and interface is based on Amazon SageMaker Studio with limited features. It provides 12 hours of free CPU and 4 hours of GPU for every session. The platform is quite simple to navigate. You get temporary storage, free but unreliable GPU and TPU, and integration with other Google cloud products such as Drive.Īmazon SageMaker Studio Lab is a new contender, and it is a high-quality product. I think the simplicity and powerful computing make it quite attractive for people to share and experiment on machine learning projects. Most of the repositories or research papers attach links to Google Colab to test and validate the results. I use Colab for a quick code run or to try other people's research works. It is simple and provides free GPU and TPU. Google Colab is quite famous among machine learning researchers and data scientists.
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