Edge Intelligence
Edge Platform: 256 MB Lightweight Container
Supporting ARM, x86, and leading AI accelerators, the platform offers full-lifecycle device onboarding, model distribution, and remote O&M. Lightweight containers occupy under 256 MB RAM yet analyze ten 1080p video streams on a single gateway. In smart retail, 30 fps real-time shopper and product recognition compresses raw footage by 85%, cutting backhaul costs. OTA upgrade and rollback suit unmanned remote sites.
Inference Engine: 75% Model Compression
The proprietary engine shrinks models to one-fourth size while preserving accuracy and tripling speed, compatible with TensorRT, OpenVINO, and ONNX Runtime. Quantization, pruning, and distillation toolchains migrate cloud-trained models to edge devices within three hours. In industrial IoT, inference completes under ten milliseconds across -20 °C to 70 °C, delivering deterministic AI for high-speed lines and renewable-energy units.
Edge-Cloud Synergy: Weekly Model Refresh
Intelligent data steering processes high-frequency privacy-sensitive tasks locally while the cloud handles long-cycle training and global optimization. Critical data responds in milliseconds on-site; non-sensitive features upload encrypted, forming a closed loop. Edge models refresh weekly, cloud capacity scales continuously, cutting AI project roll-out from six months to four weeks in factories and retail chains.