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English(EN) 🤖 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 mo

Deepgram 在 AWS Trainium 芯片上优化 Nova-3 语音 AI

作者 PulseAugur 编辑部 · [2 个来源] ·

Deepgram 已通过将其 Nova-3 语音转文本模型移植到 AWS Trainium2 芯片，针对大规模离线批量推理进行了优化。与 AWS Forward Deployed Engineering 团队的合作涉及使用 AWS Neuron 软件堆栈和 PyTorch 重建。与之前的计算选项相比，优化后的配置使每美元处理的音频量增加了 11-70%，使 Deepgram 能够更有效地扩展并为客户提供更低的价格。 AI

影响 展示了专用 AI 硬件如何提高推理效率并降低语音 AI 工作负载的成本。

排序理由 这是一个关于公司在新硬件上优化现有产品的案例研究，而不是新产品发布或基础研究。

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AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

Deepgram 在 AWS Trainium 芯片上优化 Nova-3 语音 AI

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这是一个关于公司在新硬件上优化现有产品的案例研究，而不是新产品发布或基础研究。
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报道来源 [2]

  1. AWS Machine Learning Blog TIER_1 English(EN) · Pierre Lienhart ·

    Deepgram 如何利用 AWS Trainium 优化大规模语音 AI

    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 re…

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

    🤖 Deepgram 如何通过 AWS Trainium 优化大规模语音 AI Deepgram 与 AWS Forward Deployed Engineering 团队合作，将其 Nova-3 语音转文本模型

    🤖 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... 📰 Source: Artifici…

    链接 aws.amazon.com/…/how-deepgram-optimized-v…

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