Top 5 Cloud GPU Providers for Machine Learning

In this video, eminshall discusses five cloud GPU providers that are recommended for machine learning and AI tasks, especially when local GPUs are insufficient. The video starts with Google Colab, highlighting its free resources and upgrade options, although it has usage limits that can halt long-running tasks. Next is Paperspace, which offers various GPU options, including dedicated and virtual GPUs, and charges on an hourly basis, making it cost-effective for short-term use. Vagon is another option, primarily designed for creative software but also usable for machine learning, though it has a credit-based payment model and charges for boot-up time. Linode is described as a middle ground between simpler and more complex providers, offering a range of customization options and the ability to build various servers and applications. Finally, the video covers legacy providers like Google Cloud, AWS, Microsoft Azure, and IBM Cloud, which are ideal for scalable, enterprise-level projects and are important to learn for job prospects. The video emphasizes the importance of understanding these platforms for both personal projects and career development.