In this episode, we dive deep into the emerging world of building and training small language models. We’ll discuss the benefits, risks, and challenges companies face as they work to create more targeted and efficient AI models. From managing hardware and power requirements to ensuring data privacy and governance, we’ll cover the key considerations for enterprises looking to leverage the power of small language models. Join us as we unpack this fascinating topic and consider the implications for the future of AI and infrastructure operations.
We discussed the intersection of serverless and digital twinning. These two concepts are really tightly intermingled!
We discarded the idea of a central single serverless hub managing everything; instead, we think sites would actually have a mesh of serverless, interconnected event processing and stream processing systems. This approach is much more function dependent, but really opens up a lot of interesting discussions and possibilities.
We also discussed how to manage all of this meshed, serverless subscription modeling eventing, and digital twinning.
Rob Hirschfeld, CEO and co-founder of RackN and host of the Cloud 2030 roundtable discussions, shares insights from the January 13th discussion on serverless and digital twinning. He emphasizes the significant overlap between modeling data through digital twinning and building serverless systems that subscribe to events for action, transformation, and control. Hirschfeld underscores the need for a joint discussion on these topics, highlighting that a sustainable serverless system requires a reliable model, and a useful digital twin system must connect inputs and outputs to the real world. Interested listeners are invited to explore the full episode at the2030.cloud for a comprehensive discussion on these critical industry aspects.
