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Tuesday

  1. AWS Machine Learning

    How Deepgram optimized large-scale speech AI with AWS Trainium

    Deepgram partnered with AWS to port the Nova-3 speech-to-text model to Trainium2, running 8 model replicas on a single trn2.3xlarge instance, achieving an 11%–70% increase in audio processed per dollar compared with the previous solution in offline batch processing scenarios. The team used TorchNeuron to complete the PyTorch port and tuned it through NKILib fused kernels and hand-written NKI kernels, among which the FFN kernel reduced latency by 2.0x, depthwise conv1d sped up by 1.5x, and the conv2d kernel unlocked batch sizes above 32.

    Nova-3 encoder and decoder compiled ahead of time to NEFFs and served by a data-parallel Rust runtime on AWS Trainium2

    Deepgram partnered with AWS to port the Nova-3 speech-to-text model to Trainium2, running 8 model replicas on a single trn2.3xlarge instance, achieving an 11%–70% increase in audio processed per dollar compared with the previous solution in offline batch processing scenarios. The team used TorchNeuron to complete the PyTorch port and tuned it through NKILib fused kernels and hand-written NKI kernels, among which the FFN kernel reduced latency by 2.0x, depthwise conv1d sped up by 1.5x, and the co

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Monday

  1. Hugging FaceSelected

    Hugging Face launches TorchNeuron, enabling HF models to run natively on AWS Trainium

    Hugging Face has released the PyTorch plugin TorchNeuron, which turns Neuron into a native device, supporting eager mode, torch.compile, and distributed interfaces such as FSDP2 and DTensor. It is available as a public beta starting October 20, 2026, and can be installed via pip install torch-neuronx. Transformers, Diffusers, Accelerate, PEFT, and TRL can run directly on Trainium without going through Optimum Neuron; the official recommendation is for Neuron users to switch to these libraries. For text generation, 89% of the top 100 most commonly used architectures are supported out of the box, compared with 46% for Optimum Neuron v0.4.5, and all that is needed is to pass device_map=neuron.

    Hugging Face has released the PyTorch plugin TorchNeuron, which turns Neuron into a native device, supporting eager mode, torch.compile, and distributed interfaces such as FSDP2 and DTensor. It is available as a public beta starting October 20, 2026, and can be installed via pip install torch-neuronx. Transformers, Diffusers, Accelerate, PEFT, and TRL can run directly on Trainium without going through Optimum Neuron; the official recommendation is for Neuron users to switch to these libraries. F

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