3 E Network Technology Group Limited, a B2B IT business solutions provider committed to becoming a next-generation AI infrastructure solutions provider, outlined its foundational system architecture planned for Embodied AI and advanced robotics infrastructure, and announced the completion of high-precision hardware emulation in a pre-silicon environment for its custom Edge AI SoC designed for Aladdin healthcare robots. The company proposes that next-generation Embodied AI infrastructure should integrate traditional edge-cloud architectures by constructing an “Edge-Cloud Continuum” that dynamically allocates computing and data-processing workloads. Under this design, an Edge Compute Node deploys an Edge SoC based on heterogeneous computing architecture to process time-sensitive commands such as basic motion balance, 3D obstacle avoidance, and fall alerts with deterministic microsecond-level latency, while serving as a local data anonymization and pre-processing hub that processes terabytes of raw multimodal data locally per hour and uploads only highly compressed abstract semantic instructions and critical corner case data. Resource-intensive tasks including multimodal complex reasoning, long-term data analysis, and cross-robot federated learning are offloaded to 3 E Network’s proprietary cloud AI SaaS platform, aiming to reduce the hardware power consumption burden on individual terminals.