Description:Relying entirely on cloud APIs introduces 'The Cloud AI Trap,' characterized by skyrocketing enterprise costs, volatile metered billing, and data privacy risks. 'Intelligent Automation on the Edge' presents a permanent solution. Contrast local versus cloud AI architectures, breaking down hardware requirements like GPUs, NPUs, and unified RAM across workstations and modern phones. Through live demos, learn to wire up secure local LLM coding environments for offline PowerShell scripting.
What you will learn:- Evaluate the cost, execution speed, and data privacy trade-offs of deploying local LLMs versus volatile pricing models of cloud-hosted enterprise AI.
- Optimize local hardware allocations by aligning model sizes with specific CPU, GPU, TPU, and RAM configurations across your existing machine fleet and mobile endpoints.
- Configure localized development environments to safely assist with PowerShell scripting and Microsoft Graph API automation without risking data egress.
- Walk away with a hardware evaluation checklist and a 'Problem vs. Solution' presentation template to pitch local AI infrastructure to your leadership team.
