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  1. 21 Oct
    i14 trains and serves Laplace 3B linear-attention model on AWS Trainium2

    i14 worked with AWS to train and serve its Laplace 3B linear-attention model using native PyTorch support via TorchNeuron Native on Trainium2 hardware. The model achieved about 120,000 training tokens/sec on a trn2.48xlarge instance and served 11,544 output tokens/sec across 1,280 concurrent sequences while keeping recurrent state size fixed at 29.5 MB per sequence.

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