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Tag: SageMaker

End-to-end encrypted ML inference with Amazon SageMaker AI and FHE | Amazon Web Services
Amazon Web Services

End-to-end encrypted ML inference with Amazon SageMaker AI and FHE | Amazon Web Services

vm_adminJune 8, 2026

Machine learning (ML) inference often requires processing sensitive data—medical records, proprietary business information, or personal communications. What if you could…

NVIDIA Nemotron 3 Ultra now available on Amazon SageMaker JumpStart | Amazon Web Services
Amazon Web Services

NVIDIA Nemotron 3 Ultra now available on Amazon SageMaker JumpStart | Amazon Web Services

vm_adminJune 4, 2026

Today, we are excited to announce the day-zero availability of NVIDIA Nemotron 3 Ultra on Amazon SageMaker JumpStart. With this…

Fundamental’s Large Tabular Model NEXUS is now available on Amazon SageMaker JumpStart | Amazon Web Services
Amazon Web Services

Fundamental’s Large Tabular Model NEXUS is now available on Amazon SageMaker JumpStart | Amazon Web Services

vm_adminJune 3, 2026

Today, we’re announcing support for Fundamental’s NEXUS model on Amazon SageMaker AI. With this launch, you can deploy a foundation…

Improve your agent’s tool-calling accuracy with SFT and DPO on Amazon SageMaker AI | Amazon Web Services
Amazon Web Services

Improve your agent’s tool-calling accuracy with SFT and DPO on Amazon SageMaker AI | Amazon Web Services

vm_adminJune 3, 2026

AI agents can autonomously handle complex, multi-step tasks, but their effectiveness depends on calling the right tools to retrieve information…

Comprehensive observability for Amazon SageMaker AI LLM inference: From GPU utilization to LLM quality | Amazon Web Services
Amazon Web Services

Comprehensive observability for Amazon SageMaker AI LLM inference: From GPU utilization to LLM quality | Amazon Web Services

vm_adminMay 29, 2026

Deploying large language models (LLMs) at scale on Amazon SageMaker AI Inference makes observability a critical pillar of any production…

Streamline external access to Amazon SageMaker MLflow using a REST API proxy | Amazon Web Services
Amazon Web Services

Streamline external access to Amazon SageMaker MLflow using a REST API proxy | Amazon Web Services

vm_adminMay 28, 2026

Machine learning (ML) teams use MLflow to manage their ML lifecycle effectively. Amazon SageMaker MLflow provides comprehensive ML experiment tracking…

Build a custom portal with embedded Amazon SageMaker AI MLflow Apps | Amazon Web Services
Amazon Web Services

Build a custom portal with embedded Amazon SageMaker AI MLflow Apps | Amazon Web Services

vm_adminMay 28, 2026

As ML teams grow, embedding Amazon SageMaker AI MLflow Apps into a custom portal requires a scalable approach to access…

Announcing OpenAI-compatible API support for Amazon SageMaker AI endpoints | Amazon Web Services
Amazon Web Services

Announcing OpenAI-compatible API support for Amazon SageMaker AI endpoints | Amazon Web Services

vm_adminMay 25, 2026

Today, Amazon SageMaker AI introduces OpenAI-compatible API support for real-time inference endpoints. If you use the OpenAI SDK, LangChain, or…

Fine-tune LLM with Databricks Unity Catalog and Amazon SageMaker AI | Amazon Web Services
Amazon Web Services

Fine-tune LLM with Databricks Unity Catalog and Amazon SageMaker AI | Amazon Web Services

vm_adminMay 13, 2026

When you fine-tune large language models (LLMs) with Amazon SageMaker AI while using Databricks Unity Catalog, you might face unique…

Navigating EU AI Act requirements for LLM fine-tuning on Amazon SageMaker AI | Amazon Web Services
Amazon Web Services

Navigating EU AI Act requirements for LLM fine-tuning on Amazon SageMaker AI | Amazon Web Services

vm_adminMay 12, 2026

The EU AI Act requires organizations fine-tuning large language models (LLMs) to track computational resources measured in floating-point operations (FLOPs)…

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