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Tuesday, 20 October 2026
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Nova-3

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  1. 19 Oct 2026
    Deepgram cuts batch transcription costs by porting Nova-3 to AWS Trainium2
    ParameterBeforeNow
    Hardware targetStandard PyTorch on prior compute optionsAWS Trainium2 (trn2.3xlarge) via Neuron/TorchNeuron
    Throughput per dollarBaseline compute options Deepgram previously ran11-70% more audio processed per dollar
    Serving runtimePython multiprocessing/multithreaded data-parallel runtimeCustom Rust runtime, 7.5% faster than Python MP baseline at max batch size
    Replicas per deviceNot specified8 model replicas (DP8) on one trn2.3xlarge instance

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Voice AI· Important· 🧪 Worth Testing

Deepgram cuts batch transcription costs by porting Nova-3 to AWS Trainium2

AWS and Deepgram jointly rebuilt the Nova-3 speech-to-text model to run natively on Trainium2 chips instead of standard GPU-based PyTorch setups, targeting large offline transcription jobs. The work involved rewriting bottleneck layers as custom kernels and replacing Deepgram's Python serving layer with a Rust runtime calling Trainium directly. The result: a single trn2.3xlarge instance running eight parallel model copies delivers 11-70% more transcribed audio per dollar than Deepgram's prior infrastructure, with similar savings potentially available to customers self-hosting on SageMaker.

AWS Machine Learning
Nova-3 · TENESYS AI NEWS