11-12, August 2026 Seoul, South Korea View More Details & Registration Note: The schedule is subject to change.
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The open-source community is rapidly producing powerful, autonomous AI agents capable of complex reasoning and tool use, such as Hermes and OpenClaw. However, the barrier to entry for deploying these agents remains high, often requiring complex infrastructure setups and significant computational resources. To truly democratize access to agentic AI, we must simplify the deployment and management of edge compute. This technical deep dive breaks down the complexities of orchestrating edge resources for autonomous agents. We will focus on practical strategies for deploying hybrid Kubernetes clusters designed specifically for local AI workloads. The session will highlight the critical role of GPU management, demonstrating how to optimize hardware utilization through memory slicing and time-sharing with open source projects. By providing a blueprint for efficient edge orchestration, this talk aims to empower developers and builders to deploy sophisticated open-source agents without the need for massive cloud budgets.
