Build Your Own Local AI Assistant
As open models become more capable, more builders are bringing AI closer to where their data and workflows live.
But building a useful local AI assistant takes more than choosing the right model. It requires thoughtful decisions across agent workflows, hardware, inference, and tool integration.
Join Hugging Face × OpenClaw × NVIDIA × Ant Ling for a practical conversation on building local AI assistants with Ling-3.0-flash on NVIDIA DGX Spark. Bringing together perspectives from the open-source AI, agent, hardware, model, and inference ecosystems, we’ll explore the key engineering choices and trade-offs behind making local AI work in practice.
Whether you’re building agents, models, or AI systems, this session offers a practical look at the technologies and design considerations shaping local AI assistants.