* It has an added advantage since you can you easily switch to different hardware accelerators (cpu, gpu, tpu) as per the task.
         * All you need is a good internet connection and you are all set.
      * Try to build TF from sources by changing CPU optimization flags.
   
   *Please let us know if this helps.*

        "//learning/pathways/...",
        "//learning/serving/contrib/tfrt/mlir/canonical_ops/...",
        "//learning/serving/experimental/remote_predict/...",
        "//perftools/accelerators/xprof/convert/...",
        "//perftools/accelerators/xprof/integration_tests/...",
        "//smartass/brain/...",
        "//tensorflow/...",
        "//tensorflow_decision_forests/...",
        "//tensorflow_federated/...",

        `StatefulNnApiDelegate::Options::max_number_delegated_partitions` to 3.
    *   Add capability to disable `NNAPI` CPU and check `NNAPI` Errno.
    *   Fix crashes when using `NNAPI` with target accelerator specified with
        model containing Conv2d or FullyConnected or LSTM nodes with quantized
        weights.
    *   Fix `ANEURALNETWORKS_BAD_DATA` execution failures with

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// AWS Global Accelerator
// Submitted by Daniel Massaguer <******@****.***>
// Reference: d916759d-a08b-4241-b536-4db887383a6a
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