Intel GNA is the Intel "Gaussian and Neural Accelerator" which is a low-power neural co-processor for "continuous inference at the edge" (in other words, hardware-supported real-time neural networks). Its primary use case presently is AI-driven audio applications.
The "Gaussian" part refers to Gaussian Mixture Models, where data is modelled as coming from various Gaussian distributions.
Markdown documentation is available here.
It is part of OpenVINO (TM) which is aimed at fast AI on Intel hardware.
OpenVINO uses a proprietary model format (OpenVINO IR) for which convertors exist from TensorFlow, PyTorch, ONNX and other frameworks.
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