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Hi,
This is quite a challenging question: the Panorama appliance runs a Jetson AGX Xavier architecture, which is significantly different than RTX. For instance, it sports specific deep learning accelerators (DLA) that offload the GPU for deep learning inference workload, making it hard to compare the number of TensorCores or Cuda Cores. It also depends on the frame rate you are looking at. Also keep in mind that NVidia Jetson platform does use a lot less energy than standard grade RTX video cards.
At this stage, you would have to test your workload with a development kit (do reach out to AWS representative if you feel you need support to perform these tests). AWS is collecting more datapoints from customers using the appliance and from internal usage for benchmark purpose. The Panorama service team may have more insights about the framerate you could potentially achieve given your video frame rates, resolutions, model size and architecture.
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Michaël Hoarau
AWS AI/ML Specialist Solutions Architect
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