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NVIDIA has expanded its Jetson embedded computing lineup with the Jetson Orin Nano 2, a new entry-level edge AI board that delivers 2x AI performance or 40% power reduction versus the original Nano, powered by a new Orin chip with architectural improvements and LPDDR5X memory support. The board targets robotics, drones, and computer vision systems, slotting between the original Nano and the more powerful Orin NX. Key specifications include 8 Arm Cortex-A78 CPU cores, 1024 CUDA cores, 78 TOPS sparse INT8 tensor performance, 8GB LPDDR5X-7500 memory (120GB/sec bandwidth), and a TDP range of 15W to 40W. NVIDIA claims the new silicon—still based on the Ampere GPU architecture—features microarchitecture enhancements that double real-world AI workload efficiency beyond the 16% peak theoretical improvement. At 15W, the Nano 2 matches the original Nano’s 25W performance; at 40W, it doubles the original’s peak output. The chip also adds LPDDR5X support, a first for the Orin family, and is designed as a cost-reduced die with fewer cores and no dedicated Deep Learning Accelerator, likely replacing the canceled Atlan SoC. The Jetson Orin Nano 2 is scheduled for H1 2027, joining nine total Jetson Orin SKUs. This refresh marks NVIDIA’s first mid-generation silicon update for a Nano product, reflecting sustained demand for efficient edge AI compute in the embedded and robotics markets.