How Deepgram optimized voice AI at scale with AWS Trainium

AWS Blog
Read the full article
Deepgram optimized its Nova-3 speech-to-text AI model for AWS Trainium2 chips, achieving 11–70% more audio processed per dollar on batch workloads. This efficiency gain helps Deepgram serve over 200,000 developers and 1,400 organizations more cost-effectively through its API and Amazon SageMaker AI.

More in Machine Learning

Machine Learning5 min read

PyTorch Conference 2026: Google and Meta Open-Source TorchTPU for Native PyTorch on TPUs

InfoQ (AI, ML & Data)
Machine Learning5 min read

Hugging Face Releases Carbon-X, a 14B Open DNA Language Model that Brings DNA and Natural Language Together for the First Time

MarkTechPost
Machine Learning3 min read

Google ML Drift Accelerates On-Device AI Inference Across Diverse GPUs

InfoQ (AI, ML & Data)