NVIDIA Releases cuDLA Python Inference Tutorial on Jetson AGX Orin
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NVIDIA has released a technical tutorial explaining how to run native DLA inference in Python via cuDLA on Jetson AGX Orin. DLA is hardware dedicated to deep learning inference that can execute supported neural network operators, offloading inference workloads from the GPU to improve energy efficiency. NVIDIA says edge AI applications often need to run multiple neural networks within limited compute and power budgets.
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- NVIDIA Technical BlogRun Native DLA Inference in Python on NVIDIA Jetson AGX Orin Using cuDLA
NVIDIA describes how edge AI applications often must run multiple neural networks within limited compute and power budgets, and how the NVIDIA Deep Learning Accelerator (DLA) provides dedicated hardware for deep learning inference. On NVIDIA Jetson AGX Orin, DLA executes supported neural network operations, letting applications offload inference work from the GPU, which can improve power efficiency.
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