Best Cloud Computing Services for GPU-Accelerated Streamlit Applications?

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Hi everyone,

I’m currently working on deploying several Streamlit applications that rely heavily on GPU acceleration to handle intensive data processing and deliver smooth, real-time visualizations. Since Streamlit is great for quick app development, I want to make sure the backend infrastructure can keep up with the demand.

I’m exploring cloud computing services that offer GPU support and would love to hear your recommendations. Specifically, I’m looking for:

  • Reliable GPU instances optimized for machine learning or data visualization workloads
  • Services that are relatively cost-effective for small to medium-scale deployments
  • Easy integration with Streamlit apps and support for containerization or virtual environments
  • Good scalability options as app usage grows
  • Any pros and cons you’ve encountered with providers like AWS, Google Cloud, Azure, Paperspace, or others

If you have hands-on experience deploying GPU-accelerated Streamlit apps or insights about performance, pricing, or setup complexity, please share!

Thanks so much!

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Hey Arthur10!

I’m also went through this same hunt for H100s for my LLM work.

There are tons of providers have decent pricing, but their support is usually trash (slow email reply or useless chatbots). For LLM workloads, that was a nightmare since I needed actual help for work, when things broke, not automated responses.

I ended up looking at E2E and Acecloud after doing a lots of research. Went with Acecloud in the end because: They provide $300 credit to get started (can’t complain about free money!) and their support team actually responds fast. Acecloud might cost a bit more than E2E sometimes, but honestly? The good support was worth every penny when my training jobs were acting up and I needed real help.

My advice to you: check out both their pricing and see what fits your budget and according to your task.

Hope this helps!