From the course: Build Your Own AI Lab
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Using hybrid AI labs to combine home and cloud resources
From the course: Build Your Own AI Lab
Using hybrid AI labs to combine home and cloud resources
- [Instructor] One approach that you can take is using a hybrid AI lab, which is basically combining on-premises or your home-based lab with infrastructure that is within Cloud-based resources, right? So this hybrid mode will basically offer the best of both worlds. Basically, you have the control and security on-premise, and, of course, the scalability and flexibility of Cloud platforms. The reality of today's world is that most organizations are using Cloud platforms, and they're also exploring how to bring back some of the Cloud capabilities on-premise because of the cost of AI. So the more that you're familiar with these implementations, the better for you. One of the beauties of hybrid AI Labs is that they integrate the on-premise infrastructure that you have your local servers, you know, your infrastructure with the Cloud-based resources from AWS, Google Cloud, and Azure that we were just discussing earlier in the course. In the next few segments, we're going to talk about…
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Learning objectives43s
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Using hybrid AI labs to combine home and cloud resources1m 57s
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Synchronizing data and projects4m 16s
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Leveraging the strengths of both environments5m 40s
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Running open-source models available on Hugging Face4m 24s
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Introducing LangChain3m 14s
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Introducing LlamaIndex2m 12s
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Understanding embedding models6m 23s
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Using vector databases4m 56s
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