Seeed Studio(@seeedstudio):Run #LLMs on @NVIDIARobotics #Jetson without x86 ONNX export. 🚀 #TensorRT-Model-Connect on reComputer Classic J5012 (#AGXOrin 64GB, #JP7.2). @huggingface checkpoint → trtmc build → .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? 👇 Full guide:https://t.co/TqX1i4CRxv Get your own one:https://t.co/0LafRXABpF #NVIDIA #Jetson #TensorRT #TRTMC #AGXOrin #EdgeAI #LLM #PhysicalAI #SeeedStudio

2026.09.23 06:28

Run #LLMs# on @NVIDIARobotics #Jetson# without x86 ONNX export. 🚀 #TensorRT-Model-Connect# on reComputer Classic J5012 (#AGXOrin# 64GB, #JP7#.2). @huggingface checkpoint → trtmc build → .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? 👇 Full guide: Get your own one: #NVIDIA# #Jetson# #TensorRT# #TRTMC# #AGXOrin# #EdgeAI# #LLM# #PhysicalAI# #SeeedStudio#