Industry Analysis
NVIDIA’s selection of Unitree signals a strategic push to extend its CUDA dominance from data centers into embodied AI. Technically, integrating Jetson Thor—powered by Blackwell GPUs on 3nm EUV nodes—raises the performance bar for edge AI chips, pressuring Qualcomm and Intel to accelerate rival offerings while heightening urgency for China’s SMEE to advance domestic EUV alternatives. Compliance-wise, although Unitree avoids advanced semiconductor fabrication, its STAR Board IPO—targeting ¥4.2B—could draw U.S. scrutiny if funds support AI training infrastructure using restricted NVIDIA variants like A800. In response, Tesla may open parts of its Optimus simulation stack to retain academic influence, while Ubtech faces valuation headwinds. Over the next 12–24 months, this partnership will likely standardize NVIDIA-plus-Chinese-body platforms across global research labs, establishing a 'software-locked, hardware-open' paradigm that erodes the relevance of closed-system players like Boston Dynamics.
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