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.
First seen by Oriel on .
Aliases
| Source | External ID | URL |
|---|---|---|
| AWS Machine Learning Blog | 0b1e8b84bdaaccec8fd8f6adeda3c1b7cbd14074 | https://aws.amazon.com/blogs/machine-learning/how-deepgram-optimized-voice-ai-at-scale-with-aws-trainium/ |