I’m looking for recommendations on cloud services that offer GPU options for a consistent development environment, particularly for running large language models (LLMs) and other machine learning tasks. I need a setup that supports continuous development and is more stable and feature-rich than Google Colab, which has been problematic for me due to issues with IntelliSense.
Hey people take this advice,examine your consumption habits (e.g., reserved instances, spot instances) in order to maximize savings.
Make sure your setup is capable of managing different workloads.and
put strong security measures in place to keep your apps and data safe.
It’s great to hear about your preference for the GCP console and Azure portal! Familiarity definitely plays a huge role in our comfort with various tools. Each cloud platform has its strengths:
GCP Console: Known for its clean interface and integration with Google’s powerful data and analytics services. Its design often appeals to those who are used to Google’s ecosystem.
Azure Portal: Offers deep integration with Microsoft services and tools. Its flexibility and extensive features make it a strong contender, especially for users familiar with Microsoft products.
Your preference reflects how essential it is to get comfortable with the tools you use most often. It might be useful to explore any new features or updates in the platforms you use to keep your skills sharp and make the most of their capabilities!