Episode 38 · Season 1
Agentic AI – Local vs Cloud-Hosted Agents
Local AI agents vs cloud-hosted AI agents isn’t just a technical debate, it’s a productivity and security decision. In this episode, we explain the spectrum from cloud-hosted to hybrid to fully local, and what each approach unlocks for real-world adoption.
What you’ll learn
- How cloud-hosted agents typically map to scoped business processes and scale across teams
- Why local agents can drive major individual efficiency gains through personalization and tool access
- The real-world tradeoffs: context/memory control, security risk, and controlled rollout + training
Who it’s for
Business and technical leaders deciding how to deploy agentic AI across a company.
Guest + credibility
Greg Banks is joined by Tim and Gavin Franklin to share lessons from deploying agents with clients and across internal teams—especially around hybrid and locally hosted approaches.
CTA
Have questions or want help planning an agent rollout? Reach out: CirriusTalk@Cirriussolutions.com. (And follow the show so you don’t miss the next build-focused episode.)
Links & Resources
Agentic AI Playlist of past episodes
Episode Artifact:
Tim Harting on LinkedIn
Gavin Franklin on LinkedIn
Greg Banks on LinkedIn
Jason Fowler Music
Cirrius Solutions
We cover
- AI agents
- agentic AI
- local agents
- cloud hosted agents
- hybrid architecture
Resources and downloads
The artifacts Greg’s team built for this episode, free to download.
Agentic AI – Local vs Cloud-Hosted Agents
Defines what makes an agent local versus cloud-hosted, and why the agent and the LLM are separate choices: either kind of agent can call a cloud API like Claude or OpenAI, or a locally hosted open source model. A Venn diagram walks through what the two hosting models share and where they differ, with security requirements and infrastructure capability as the deciding factors.
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