How Deepgram optimized voice AI at scale with AWS Trainium
Deepgram worked with the AWS Forward Deployed Engineering team to port its Nova-3 speech-to-text model to AWS Trainium2 for offline batch inference. This post covers porting to the AWS Neuron stack, kernel-level tuning, a data-parallel Rust runtime, and the throughput and cost results on batch transcription.
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Qué ocurrió
Deepgram worked with the AWS Forward Deployed Engineering team to port its Nova-3 speech-to-text model to AWS Trainium2 for offline batch inference. This post covers porting to the AWS Neuron stack, kernel-level tuning, a data-parallel Rust runtime, and the throughput and cost results on batch transcription.
Por que importa
The financing changes available capital and competitive capacity around Amazon; terms and investor participation remain key.
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2 articulos · 1 informe original · 2 independientes
- AWS Machine Learning BlogFuente primaria · Respalda · EN · 100%How Deepgram optimized voice AI at scale with AWS Trainium ↗
- Hugging FaceIndependiente · Respalda · EN · 49%TorchNeuron: running HF models on AWS Trainium is easier than ever ↗
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- How Deepgram optimized voice AI at scale with AWS Trainium Observado
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