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On the Programmability of AWS Trainium and Inferentia

  • AWS Neuron SDK for developing and running new kernels on AWS Trainium and AWS Inferentia.
  • The NKI interface joins another API that enables NeuronCore-v2 programmability.
  • By exposing APIs for Neuron kernel customization, the SDK empowers developers to create and/or optimize the low-level operations, greatly increasing the opportunity for running ML workloads on Trainium and Inferentia.
  • The NKI documentation includes a dedicated section on the architecture design of NeuronCore-v2 and its implications on custom operator development.
  • Similar to other dedicated AI chips, NeuronCore-v2 includes several internal acceleration engines, each of which specializes in performing certain types of computations.
  • The NKI API Reference Manual details the Python API for kernel development.
  • The second method for creating a custom Neuron kernel involves building a C++ operator for the GpSimd engine.
  • Through its high-level Python interface, the NKI APIs expose the power of the Neuron acceleration engines to ML developers in an accessible and user-friendly manner.

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