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README.md
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You should find on this page several of the models that Kalray's SDK support. As part of ACE (AccessCore SDK),
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KaNN (Kalray Neural Network) is dedicated to optimize inference on the Kalray's processor (MPPA) on the following scheme:
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1. Design and/or import your Neural Networks from ONNX or TensorFlow (PyTorch is supported using the ONNX bridge),
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2. Build an intermediate represention of the NN in order to be executed on
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3. Run and exploit predictions from the device
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Find out on our github page the possibility to deploy and power your AI solutions over the Kalray's processor at:
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* [KANN-MODELS-ZOO](https://github.com/kalray/kann-models-zoo)
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* [WIKI](https://github.com/kalray/kann-models-zoo/blob/main/WIKI.md)
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Kalray π
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You should find on this page several of the models that Kalray's SDK support. As part of ACE (AccessCore SDK),
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KaNN (Kalray Neural Network) is dedicated to optimize inference on the Kalray's processor (MPPA) on the following scheme:
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1. Design and/or import your Neural Networks from ONNX or TensorFlow (PyTorch is supported using the ONNX bridge),
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2. Build an intermediate represention of the NN in order to be executed on our processor,
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3. Run and exploit predictions from the device
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Find out on our github page the possibility to deploy and power your AI solutions over the Kalray's processor at:
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* [KANN-MODELS-ZOO](https://github.com/kalray/kann-models-zoo) / [WIKI](https://github.com/kalray/kann-models-zoo/blob/main/WIKI.md)
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Kalray's Compute Team π
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