Deepgram deepens Amazon SageMaker AI observability with Enhanced Metrics
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Self-hosted speech AI carries an observability trade-off: the numbers that drive capacity planning and cost management stay locked inside the vendor container. Deepgram closes that gap on Amazon SageMaker AI with two capabilities that land billing, usage, and per-GPU metrics directly in your own Amazon CloudWatch account.
Self-hosted speech AI has historically carried an observability trade-off. The service can tell you an endpoint is up and how many requests it served. The questions that actually drive capacity planning and cost management stay locked inside the vendor’s container: what you are billed for, which features your traffic uses, and what the inference engine is doing on each GPU. If you run Deepgram’s speech-to-text (STT) and text-to-speech (TTS) models on SageMaker AI, audio and transcripts stay…
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