From local AI PCs to Azure: The future of open-source AI development (LIVESP128)
Adrian Macias discusses how open-source AI development is shifting across local AI PCs and Azure, covering agentic AI, AI-assisted coding, and the practical need for flexible deployment options as teams experiment and scale AI workloads.
Overview
In this Microsoft Build 2026 conversation, AMD and Microsoft discuss how AI development workflows are evolving as developers:
- Experiment with agentic AI approaches
- Use AI-assisted coding in day-to-day development
- Adopt more flexible deployment strategies, spanning local hardware and cloud infrastructure
The session frames the trend as a move toward environments where developers can iterate locally (including on AI-capable PCs) and then scale workloads using Azure infrastructure, while staying connected to the broader open-source AI ecosystem.
Topics highlighted in the session description
Open-source AI ecosystems across hardware and cloud
- How open-source tooling and ecosystems influence modern AI development workflows
- The role of local AI-capable machines (e.g., Ryzen AI PCs) for experimentation
- The role of cloud infrastructure (e.g., Azure) for scaling and adapting workloads
Deployment flexibility for AI workloads
- Why teams increasingly need to move between environments (local development, different accelerators, cloud)
- How infrastructure choices affect the ability to experiment, adapt, and scale
Agentic AI and multimodal interaction
- The session description calls out agentic AI as a key theme
- It also references emerging multimodal interaction patterns as part of the broader shift in AI modalities
Session metadata
- Event: Microsoft Build 2026
- Session code: LIVESP128
- Speakers (as listed): Adrian Macias
- Format: Broadcast stage conversation