How can I integrate HPC workflows in a Streamlit app running on the cloud?

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Hi everyone,

I’m currently working on a project where I need to integrate High-Performance Computing (HPC) workflows into a Streamlit app running on the cloud. The goal is to efficiently handle and visualize large-scale data processed by HPC systems, but I’m unsure about the best approach to connect everything smoothly.

Some specific things I’m trying to figure out:

  1. Cloud Providers: Which cloud platforms (AWS, Azure, GCP, etc.) are best suited for running HPC workloads that I can seamlessly integrate with Streamlit?
  2. Data Handling: How can I efficiently manage large datasets in the cloud while keeping the Streamlit app responsive and user-friendly?
  3. Parallel Computing: What’s the best way to execute parallel computations in the cloud and visualize the results in Streamlit in real-time?
  4. Optimization: Any tips for optimizing both the HPC computations and the Streamlit app for performance?

I’d love to hear if anyone has experience with this or any advice on tools, frameworks, or strategies to make this integration work.

Thanks in advance!