SageMaker のアップデート

<p>Amazon SageMaker HyperPod now supports model caching, an inference optimization that pre-loads model weights and container images onto cluster nodes so pods start in seconds instead of minutes.</p>

<p>Amazon SageMaker Feature Store is a fully managed capability that makes it easy to compute, store, and retrieve features for training and deploying AI models. SageMaker Feature Store now supports f

<p>Amazon SageMaker AI now supports <a href="https://aws.amazon.com/ec2/instance-types/g6e/">Amazon EC2 G6e instances</a> for batch transform. Batch Transform enables you to run predictions on dataset

<p>Amazon SageMaker Unified Studio Workflows now supports PythonOperator and BashOperator, enabling you to run custom Python functions and shell commands directly in your serverless workflows without

<p>Amazon SageMaker Unified Studio CI/CD expands its open-source deployment toolkit with two new capabilities: (1) an AI agent skill that automates manifest authoring, and (2) native notebook promotio

<p>NVIDIA's Cosmos3-Edge, Cosmos3-Nano, and Cosmos3-Super models are now available on Amazon SageMaker JumpStart, expanding the portfolio of foundation models available to AWS customers. These three m

<p>Meta's Muse-Glimmer-30B and Alibaba's Qwen 3.8-27B models are now available on Amazon SageMaker JumpStart, expanding the portfolio of foundation models available to AWS customers. These two models

<p>SageMaker MLflow now enables customers to encrypt their data using customer-managed keys (CMK) through AWS Key Management Service (KMS).</p> <p>This enhancement allows organizations with strict se

<p>Amazon SageMaker HyperPod now enhances support for Ray with built-in observability, resilient training, accelerated inference and managed development environments. Ray is a popular open-source fram

<p>AWS Glue 6.0 is now generally available, delivering a 30% price reduction and introducing full support for Apache Iceberg v3, newer versions of Apache Hudi and Delta Lake, and new capabilities to i

<p>Amazon SageMaker AI now offers Generative AI Inference Recommendations in SageMaker AI Studio, giving customers a guided, low-code, no-code path to find the best inference configuration for their w

<p>Amazon SageMaker Notebooks now support Trusted Identity Propagation (TIP) with Amazon Athena, Amazon Redshift, and Amazon EMR Serverless, enabling per-user access control for data analytics.</p> <

<p>Amazon SageMaker Unified Studio now supports data profiling and anomaly detection, powered by AWS Glue Data Quality. Data stewards, engineers and analysts can generate statistical profiles of their

<p>NVIDIA's LocateAnything-3B, Qwen's Qwen-AgentWorld-35B-A3B, and Qwen's Qwen3.5-122B-A10B models are now available on Amazon SageMaker JumpStart, expanding the portfolio of foundation models availab

<p>NVIDIA's Nemotron 3.5 Lightning is now available on Amazon SageMaker JumpStart, giving AWS customers access to the fastest open model in its class for persistent agent workloads and rapid task exec

<p>AWS Glue now provides direct access to Amazon SageMaker Unified Studio, helping data engineers and analysts move from viewing the catalog in the Glue console to querying their data, running data qu

<p>Black Forest Labs' FLUX.2-small-decoder and Google's gemma-4-12B-it models are now available on Amazon SageMaker JumpStart, expanding the portfolio of foundation models available to AWS customers.

<p>Redis's langcache-embed-v3-small, JetBrains' Mellum2-12B-A2.5B-Thinking, and LightOn's LightOnOCR-2-1B models are now available on Amazon SageMaker JumpStart, expanding the portfolio of foundation

<p>Z.ai's GLM-5.2 FP8, NVIDIA's Nemotron-Nano-12B-v2, and Z.ai's GLM-OCR models are now available on Amazon SageMaker JumpStart, expanding the portfolio of foundation models available to AWS customers

<p>Amazon EMR on EC2 now supports interactive Apache Spark sessions with Spark Connect. Data engineers and data scientists can develop and debug Apache Spark applications interactively from managed no

<p><a href="https://aws.amazon.com/ec2/instance-types/g7/">Amazon G7 instances</a>, powered by NVIDIA RTX PRO 4500 Blackwell Server Edition GPUs, deliver up to 4.6x AI inference performance compared t

<p>Amazon SageMaker AI serverless model customization now supports full fine-tuning for over 25 open-source models. These include popular models from gpt-oss, Gemma, Llama, Nemotron, and Qwen model fa

<p>Amazon SageMaker Unified Studio now supports Teradata Vantage as a data source, enabling you to query and analyze your enterprise data warehouse data directly alongside your other data assets. With

<p>Amazon SageMaker Unified Studio gives project members full Git version control directly within the tools you already use - Query Editor, Visual ETL, Workflows, and Notebooks. The enhanced <b>Reposi

<p>AWS Glue Data Quality now supports a new Distribution Analyzer that generates frequency distribution profiles for your data. Using this new Distribution Analyzer in the Data Quality Definition Lang

<p>We are pleased to announce the availability of <a href="https://aws.amazon.com/ec2/instance-types/g7e/">Amazon EC2 G7e instances </a>in Asia Pacific (Seoul), Europe (London), and Asia Pacific (Toky

<p>We are pleased to announce the availability of <a href="https://aws.amazon.com/ec2/instance-types/g6/">Amazon EC2 G6 </a>instances in the AWS GovCloud (US-East) region on Amazon SageMaker AI infere

<p>Amazon SageMaker AI inference now supports <a href="https://aws.amazon.com/ec2/instance-types/g7/">G7 instances</a> powered by NVIDIA RTX PRO 4500 Blackwell Server Edition GPUs, enabling you to dep

<p>Amazon SageMaker Unified Studio now supports Amazon OpenSearch as a data source, enabling you to query and analyze your search and log analytics data directly alongside your other data assets. With

<p>Amazon SageMaker HyperPod now supports network topology configuration at the partition level for Slurm orchestrated clusters. A single cluster can now run tree topology in one partition and block t