Amazon SageMaker HyperPod now supports multi-tier data capture for auditing and model improvement. It also enables direct deployment from Hugging Face Hub, local NVMe model loading for faster cold starts, automated Route 53 DNS for custom domains, and pod-level IAM with custom service accounts. These features enhance enterprise inference by improving performance, security, and ease of deployment.
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In this post, we walk through five capabilities now available in SageMaker HyperPod inference: multi-tier data capture for auditing and model improvement, direct deployment from Hugging Face Hub, local NVMe model loading for faster cold starts, automated...
As enterprises scale their generative AI workloads, the demand for faster, more observable, and more flexible inference infrastructure continues to grow.