Optimizing Warehouse Logistics Operations with Edge AI and GPU Computing (Presented by ADLINK Technology)

The warehouse logistics industry faces enormous pressure to adapt operations to seasonal demands, while maintaining operational efficiency and workplace safety. Due to the scalability and versatility of AI, edge computing is ideal for dynamic, fast-paced work environments. To succeed in this sector, AI must be efficient, agile, and capable of carrying out multiple workloads and tasks. Workloads required of AI include object identification, package inspection, route planning and navigation, and real-time human and machine collaboration. We'll examine various use cases of how AI can assist in sorting, picking, and putting away in warehouses, thus streamlining and bringing warehouse operational efficiency to the next level. Find out how to solve today’s warehouse logistics challenges with NVIDIA’s GPU-accelerated technologies, including NVIDIA Ampere architecture, GPU-embedded NVIDIA Jetson platforms, DeepStream, NVIDIA TAO, and ISAAC GEM for AI-enabled operations.