this post was submitted on 26 Nov 2023
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LocalLLaMA
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Community to discuss about Llama, the family of large language models created by Meta AI.
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My perspective as a Fortune 500 IT solutions architect... why would I spend a few million dollars and a year of project time to build out local infrastructure that'll already be outdated by the time it's installed, when I can just hand my developers and data team permissions on Azure to be able to immediately access the same or better resources for a fraction of the cost? Scale is value, and cloud service providers will always have far greater scale.
That's probably the argument for all cloud architecture.
Long-term cost and risk might be persuasive, but that hasn't swayed IT managers thus far for non-LLM specific infrastructure. I am guessing it won't do much to sway future IT managers.
I'm also assuming Azure will let you get very custom with the LLMs you can train via their services.
This gives me something to think about.
It's 2023. What are you talking about? Where have you been?
Not everyone still uses the cloud, I still know people who run and manage physical clusters. This is mostly true for institutions such as hospitals, universities, etc. Using cloud solutions on these cases not just would add external dependencies but also much higher costs, for instance, handling and processing hundreds or thousands of terabytes of critical or scientific data.