Zero-Latency AI Powered by NVIDIA Jetson Processors
The era of centralized AI is giving way to distributed, real-time intelligence. As autonomous systems expand across cities, factories and roadways, compute must move closer to where data is generated—at the edge.
Rugged Edge AI demands more than raw performance. It requires deterministic response, industrial-grade reliability, and sustained operation in harsh, unpredictable environments. In mission-critical deployments, milliseconds matter—and system resilience defines success.
Lanner’s Edge AI platforms, powered by NVIDIA Jetson Series Processors, are purpose-built for zero-latency autonomy in smart infrastructure. With energy-efficient AI acceleration, wide-temperature durability, I/O connectivity and 5G/LTE connectivity, they enable real-time vision AI, physical AI, and robotics—bringing secure, autonomous intelligence to the rugged edge.
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NVIDIA Jetson Thor – EAI-I351
Delivering up to 2,070 TFLOPS of AI performance with 128GB LPDDR5X memory and 100Gbps QSFP connectivity, the EAI-I351 is purpose-built for VLM/VLA execution, real-time sensor fusion, and advanced robotic control in next-generation autonomous robotics deployments
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NVIDIA Jetson AGX Orin – EAI-I251
Powered by up to 248 TOPS and supporting 8x native GMSL2 camera inputs, the EAI-I251 is optimized for intensive sensor fusion and production-grade real-time video analytics, making it ideal for intelligent traffic management and smart city applications.
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NVIDIA Jetson Orin NX (Super Mode) – EAI-I134
Featuring a 40W thermal design that unlocks Super Mode up to 157 TOPS, the EAI-I134 delivers sustained AI performance for high-precision video analytics, including firearm detection and PPE compliance monitoring in rugged, fanless, wide-temperature environments.
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NVIDIA Jetson Orin Nano/NX (GPS) – EAI-I132
Designed as a compact, 5G-ready Edge AI platform with integrated GPS, the EAI-I132 enables mobile edge intelligence and vision-based video analytics, supporting autonomous vehicles and distributed AI deployments in space-constrained environments.
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