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Hi everyone,

I’m working with large datasets pulled from Supermetrics, and I’m facing challenges when it comes to processing them efficiently. The datasets are growing, and it's starting to strain my current AI computer setup. I’m wondering what the best AI computing setups are for handling such massive datasets.

To give some context, I need a system that can:

  • Handle complex data processing and analysis
  • Scale as the dataset grows
  • Integrate well with AI frameworks (like TensorFlow or PyTorch)
  • Be cost-effective

What hardware and cloud-based solutions do you recommend for this kind of workload? Are there specific GPUs, CPUs, or cloud services that work best for large-scale data analysis?

Any insights or recommendations would be greatly appreciated!

Thanks!

 

Hi ​@leoarthur 

Thanks for your question! First of all, I want to apologize your question was automatically flagged as spam, but it’s absolutely a valid and important one! 

While your query about optimizing AI computing setups for large datasets is important, it seems to be more about general data processing and hardware/cloud solutions rather than marketing analytics or Supermetrics-specific functionality.

That said, I’d recommend checking out communities like:

  • Data Science Stack Exchange

  • AI or Machine Learning forums

  • Cloud computing or hardware-focused communities

These platforms may be better suited for discussions about GPUs, CPUs, and cloud-based solutions for large-scale data analysis. If you have any questions specifically related to marketing analytics or data insights, Supermetrics or its integrations, feel free to ask—we’re happy to help! 🤗

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