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#techroi — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #techroi, aggregated by home.social.

  1. Running local LLMs makes no sense unless you have a steady workload to feed them. Otherwise your hardware costs pile up while utilization stays low, and the ROI is poor.

    Good as a learning exercise, and there’s been plenty of tuning involved, but in real coding work it’s largely impractical. It does fit lightweight tasks that must run locally for privacy reasons.

    Recommendation: start by practicing on your own hardware. If you find it too slow and don’t want to invest, rent a GPU setup to test whether a bigger hardware investment would be worth it: https://upcloud.com/products/gpu-servers/

    #LocalLLM #SelfHosted #AI #MachineLearning #GPU #Infrastructure #TechROI #DevOps

  2. Running local LLMs makes no sense unless you have a steady workload to feed them. Otherwise your hardware costs pile up while utilization stays low, and the ROI is poor.

    Good as a learning exercise, and there’s been plenty of tuning involved, but in real coding work it’s largely impractical. It does fit lightweight tasks that must run locally for privacy reasons.

    Recommendation: start by practicing on your own hardware. If you find it too slow and don’t want to invest, rent a GPU setup to test whether a bigger hardware investment would be worth it: https://upcloud.com/products/gpu-servers/

    #LocalLLM #SelfHosted #AI #MachineLearning #GPU #Infrastructure #TechROI #DevOps

  3. Running local LLMs makes no sense unless you have a steady workload to feed them. Otherwise your hardware costs pile up while utilization stays low, and the ROI is poor.

    Good as a learning exercise, and there’s been plenty of tuning involved, but in real coding work it’s largely impractical. It does fit lightweight tasks that must run locally for privacy reasons.

    Recommendation: start by practicing on your own hardware. If you find it too slow and don’t want to invest, rent a GPU setup to test whether a bigger hardware investment would be worth it: https://upcloud.com/products/gpu-servers/

    #LocalLLM #SelfHosted #AI #MachineLearning #GPU #Infrastructure #TechROI #DevOps

  4. Running local LLMs makes no sense unless you have a steady workload to feed them. Otherwise your hardware costs pile up while utilization stays low, and the ROI is poor.

    Good as a learning exercise, and there’s been plenty of tuning involved, but in real coding work it’s largely impractical. It does fit lightweight tasks that must run locally for privacy reasons.

    Recommendation: start by practicing on your own hardware. If you find it too slow and don’t want to invest, rent a GPU setup to test whether a bigger hardware investment would be worth it: https://upcloud.com/products/gpu-servers/

    #LocalLLM #SelfHosted #AI #MachineLearning #GPU #Infrastructure #TechROI #DevOps

  5. Running local LLMs makes no sense unless you have a steady workload to feed them. Otherwise your hardware costs pile up while utilization stays low, and the ROI is poor.

    Good as a learning exercise, and there’s been plenty of tuning involved, but in real coding work it’s largely impractical. It does fit lightweight tasks that must run locally for privacy reasons.

    Recommendation: start by practicing on your own hardware. If you find it too slow and don’t want to invest, rent a GPU setup to test whether a bigger hardware investment would be worth it: https://upcloud.com/products/gpu-servers/

    #LocalLLM #SelfHosted #AI #MachineLearning #GPU #Infrastructure #TechROI #DevOps