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English(EN) 🤖 Deepgram deepens Amazon SageMaker AI observability with Enhanced Metrics Self-hosted speech AI carries an observability trade-off: the numbers that drive capa

Deepgram通过新指标增强SageMaker AI可观测性

作者 PulseAugur 编辑部 · [2 个来源] ·

Deepgram已增强其在Amazon SageMaker上部署的自托管语音模型的AI可观测性。新的功能，Deepgram增强指标以及对Prometheus和OpenTelemetry的支持，提供了对使用情况、计费和引擎行为的更大透明度。这些创新允许用户将AWS账单与实际流量进行核对，并直接在AWS账户中查询详细的引擎级指标，从而解决了自托管AI部署中的历史权衡问题。 AI

影响 增强了AWS上自托管语音AI部署的成本管理和运营洞察力。

排序理由 AI服务提供商与云平台集成的产品更新。

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Deepgram通过新指标增强SageMaker AI可观测性

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报道来源 [2]

  1. AWS Machine Learning Blog TIER_1 Nederlands(NL) · Victor Wang ·

    Deepgram 通过增强指标深化 Amazon SageMaker AI 可观测性

    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 dire…

  2. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    🤖 Deepgram 加强 Amazon SageMaker AI 可观测性，增强指标 自托管语音 AI 存在可观测性权衡：驱动能力的数字

    🤖 Deepgram deepens Amazon SageMaker AI observability with Enhanced Metrics 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 Sa... 📰 So…

    链接 aws.amazon.com/…/deepgram-deepens-amazon-…

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