Edge AI
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Running models on devices and local hardware rather than in a data center. Readers can learn about small and quantized models, accelerators and single-board hardware, memory and power constraints, on-device privacy, and splitting work between edge and cloud.
Aetina Introduces Palm-Sized In-Vehicle Edge AI PlatformsA Renesas RZ/V2N-based SoM and carrier board for Vision AI applicationsAdvantech AOM-6741 AI Vision SMARC module features 100 TOPS Qualcomm IQ-9075 SoC, up to 36 GB LPDDR5Why Sensor Fusion Matters for Drone Navigation and DetectionSensiBel and Aizip Combine Optical MEMS and Edge AI BeamformingRockchip RV1126B-based Forlinx FCU3101 fanless edge AI system targets IIoT and smart security applicationsreComputer Mini J501 Edge AI computer features NVIDIA Jetson AGX Orin 64GB/32GB module, two FAKRA camera connectorsUltra-compact LGA system-on-module based on MediaTek Genio 720 and Genio 520 SoCsNeedle 2 - The 14 MB Agentic LLM for Tiny DevicesBasler, Syslogic Deliver Industrial Machine Vision Solutions