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  "Only for Nvidia hardware"

  by TonyTiger on Aug 9, 2024 3:00 PM

  Summary:
  NVIDIA TensorRT boosts inference performance on NVIDIA GPUs, but there are some challenges. The learning curve can be steep, especially for those new to the framework, with complex optimization steps that aren't always intuitive. Compatibility issues can arise when integrating TensorRT with non-NVIDIA hardware or certain custom layers, limiting its flexibility. Additionally, the optimization process can sometimes result in unpredictable behavior or model accuracy loss, requiring careful tuning. Also, reliance on NVIDIA-specific hardware makes it less appealing if you're looking to deploy across a variety of platforms or using non-NVIDIA accelerators.

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