backend.ai

Explore new solutions for building resilient AI infrastructure that seamlessly integrates edge and cloud computing through intelligent orchestration. We'll demonstrate how an eight-node NVIDIA Jetson Nano cluster serves multiple LLMs (including Gemma 2 2B and Llama 3.2 3B) and supports multi-modal AI agents while maintaining cloud GPU integration. Learn how to orchestrate distributed AI systems that process text, images, and sensor data, enabling robust edge computing with cloud failover capabilities. Our implementation shows how to maintain continuous AI operations in air-gapped environments and during network disruptions. Through real-world scenarios, you'll discover how this hybrid architecture provides both local processing reliability and cloud scalability, offering practical solutions for modern AI deployment challenges. We'll share specific deployment strategies and performance optimizations for running sophisticated multi-agent workloads across edge and cloud environments.