What if deploying private, enterprise-grade AI didn’t take months—but only as long as it takes your coffee to cool?

In this episode of The Private AI Lab, Johan van Amersfoort sits down with Tasha Drew to unpack how Private AI Services on VMware Cloud Foundation are changing the way enterprises build and consume AI.

They discuss why AI needs a platform layer, how Broadcom integrates open source responsibly, what MCP means for enterprise AI, and how agentic AI workloads can be deployed securely, governed properly, and operated at scale—inside the private cloud.

If you like to follow Tasha, you can do that on linkedin:https://www.linkedin.com/in/tashy/

Topics covered

• Why “training” is the most misused AI term

• From zero to RAG and agentic AI in minutes

• Private AI Services and the VCF strategy

• Model runtime, API gateways, and GPU efficiency

• Data indexing & retrieval for enterprise RAG

• Open source trade-offs: speed vs flexibility

• MCP, tool usage, and governance

• How Broadcom uses its own AI platform internally

• The future of agents: specialists over monoliths

If you like to follow Tasha, you can do that on linkedin:https://www.linkedin.com/in/tashy/