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AWS Trainium

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Articles with this concept

  1. Advanced (300)

    Securing AI agent identity with X.509 PKI on AWS

    The article discusses securing AI agent identity using X.509 PKI on AWS, leveraging Keyfactor EJBCA and AWS services. It details a reference architecture that uses signed request envelopes, user-signed delegation assertions, RFC 8693 audience-scoped tokens, and real-time OCSP revocation to ensure agent identity and prevent request forgery.

    aws.amazon.comAdded

  2. Advanced (300)

    Beyond the KV cache: Training and serving i14’s Laplace 3B linear attention model on AWS Trainium2 with native PyTorch

    i14 trained and served the Laplace 3B linear attention model on AWS Trainium2 using native PyTorch. The model maintains a fixed recurrent state of 29.5 MB per sequence, avoiding the growing key-value cache of transformer models and ensuring predictable memory usage.

    aws.amazon.comAdded