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Seeed Studio
@seeedstudio
The #AI# Hardware Partner
๊ฐ€์ž… April 2009
1.4K ํŒ”๋กœ์ž‰ ์ค‘    78.3K ํŒฌ
Run #LLMs# on @NVIDIARobotics #Jetson# without x86 ONNX export. ๐Ÿš€ #TensorRT-Model-Connect# on reComputer Classic J5012 (#AGXOrin# 64GB, #JP7#.2). @huggingface checkpoint โ†’ trtmc build โ†’ .bundle on device trtmc run for text gen Tested: #Qwen3-4B# FP16 (~41GB container peak, 64GB recommended) No ONNX hop. Edge LLM/agent ready. Would you use on-device TRTMC for prototyping, or keep ONNX export for production? ๐Ÿ‘‡ Full guide: Get your own one: #NVIDIA# #Jetson# #TensorRT# #TRTMC# #AGXOrin# #EdgeAI# #LLM# #PhysicalAI# #SeeedStudio#
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