SageMaker AI: Accelerating Precision Medicine MLOps
Discover how Sonrai leverages Amazon SageMaker AI for MLOps, accelerating precision medicine trials with robust experiment tracking, secure data, and traceable model deployment.
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Boosting Generative AI: SageMaker’s 2025 Inference Upgrades
Explore Amazon SageMaker AI’s 2025 advancements: Flexible Training Plans for guaranteed GPU capacity, enhanced inference performance with EAGLE-3, and dynamic LoRA adapter management.
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Nemotron 3 Nano 30B MoE: Open Generative AI on SageMaker JumpStart
NVIDIA Nemotron 3 Nano 30B MoE is now on SageMaker JumpStart. This open, efficient model excels in coding and reasoning with a hybrid architecture and 1M token context, simplifying generative AI deployment on AWS.
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Streamline SageMaker HyperPod Management with CLI & SDK
Simplify Amazon SageMaker HyperPod cluster management with the new CLI and SDK. Streamline distributed training, inference, and cluster lifecycle for AI/ML workloads.
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Enhance AI Model Evaluation with Amazon Nova on SageMaker
Discover Amazon Nova’s new features in SageMaker AI, including custom metrics, LLM-as-a-Judge, log probabilities, metadata passthrough, and multi-node scaling for robust model evaluation.
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Optimize SageMaker ML Training with AWS Batch for 2x Throughput
Learn how Amazon Search doubled ML training throughput and boosted GPU utilization to 80%+ by integrating AWS Batch with SageMaker for advanced job prioritization and resource management.
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Deploy No-Code ML Models with SageMaker Serverless Inference
Learn how to deploy Amazon SageMaker Canvas no-code ML models using SageMaker Serverless Inference. Automate scalable, cost-effective predictions without managing infrastructure.
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Supercharge SageMaker with Comet: Enterprise ML Experiment Management
Boost your ML workflow with Comet and SageMaker AI! This integration provides seamless experiment management, model tracking, and collaboration for enterprise-scale machine learning projects, ensuring compliance and efficiency.
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AWS CDK for SageMaker Ground Truth Private Workforce
Automate SageMaker Ground Truth private workforce creation with AWS CDK. This solution handles Cognito integration, callback URLs, and domain management for secure, scalable data labeling.
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SageMaker HyperPod: Fine-Grained Quota Control for Optimized Cluster Use
Maximize Amazon SageMaker HyperPod cluster utilization with fine-grained quota allocation. Control GPU, vCPU, and memory resources across teams, optimizing resource distribution and cost efficiency. Learn how to use the AWS Management Console or CLI.
