All news with #product update tag

🚀 Amazon Bedrock customers can now view inference quotas for the bedrock-mantle endpoint via AWS Service Quotas. This update surfaces per-model input-tokens-per-minute and output-tokens-per-minute limits, aligning visibility with existing bedrock-runtime and other AWS services. The feature is available in all Regions offering the endpoint and quota increases follow the standard Bedrock limit request process.

🚀 Amazon SageMaker notebook instances now support EC2 P5.4xl instances powered by NVIDIA H100 Tensor Core GPUs. These instances deliver up to 4x higher performance and up to 40% lower training cost versus prior-generation GPU instances, accelerating development of deep learning and generative AI models. P5.4xl is generally available across multiple AWS regions including US East, US West, Asia Pacific, and South America. Refer to developer guides for setup instructions in JupyterLab and CodeEditor on SageMaker Studio and notebook instances.

🚀 Amazon announces GA of EC2 P5en.48xl instances for SageMaker notebook instances, delivering advanced H200 GPUs paired with 4th Gen Intel Xeon processors. These instances provide increased GPU memory and bandwidth compared to P5, Gen5 PCIe between CPU and GPU, and faster EFA/Nitro networking to boost distributed training and inference. P5en.48xl is available in US East (N. Virginia, Ohio), US West (Oregon), and Asia Pacific (Tokyo) regions. Refer to the developer guides for setup and SageMaker Studio integration.

🚀 Amazon EMR now supports Apache Spark 4.0.2 across all deployment models, bringing ANSI SQL and VARIANT data types to simplify data pipeline development. The release enables fine-grained access control at row and column level and integrates Apache Iceberg v3 for stronger transaction guarantees and lineage. Enhanced streaming capabilities speed real-time application deployment and Spark 4.0.2 is available in all EMR regions.

🔧 AWS Glue now provides large and memory-optimized workers in the AWS Europe (Spain) Region, enabling customers to run more compute- and memory-intensive ETL workloads locally. The release introduces two general compute workers (G.12X, G.16X) and four memory-optimized workers (R.1X, R.2X, R.4X, R.8X). These options support heavier transforms, aggregations, joins, and caching in Spark jobs and can be chosen in AWS Glue Studio or via the Glue Job APIs.

🔔 Amazon SageMaker HyperPod now supports minimum capacity requirements (MinCount) for Slurm clusters using continuous provisioning, ensuring that instance groups only enter InService when a specified minimum number of instances are provisioned. This is valuable for distributed training frameworks such as PyTorch FSDP, Megatron-LM, and NVIDIA NeMo that need a fixed node count, and for teams requiring baseline GPU counts to meet SLAs or cost targets. Specify MinInstanceCount in the CreateCluster or UpdateCluster API; groups remain in Creating or Updating until the threshold is met or a 3-hour rollback triggers. MinCount is available in all Regions supporting SageMaker HyperPod.

🚀 AWS announces Amazon Aurora MySQL-Compatible Edition now integrates with Kiro Powers, enabling developers to build Aurora MySQL-backed applications faster using AI agent assistance. The integration bundles curated Model Context Protocol (MCP) servers, steering files, and hooks validated by Kiro partners to provide immediate expertise in Aurora MySQL operations and schema design via natural language. Developers can execute data plane and control plane tasks conversationally, while task-specific guidance prevents information overload. The feature is available via one-click installation from the Kiro IDE and webpage across all Regions that support Aurora MySQL.

🔒 AWS Backup now requires one‑time password (OTP) verification when approvers vote on Multi‑party approval actions for logically air‑gapped vaults. Approvers must enter a six‑digit code sent to their registered email in AWS IAM Identity Center, ensuring only verified approvers can authorize protected vault operations. OTP verification is applied automatically to all existing and new Multi‑party approval sessions in supported Regions at no additional charge, with no setup required.

🚀 AWS announces general availability of Neuron 2.30.0, delivering NKI 0.4.0 with Trainium3-specific hardware capabilities, 22 new NKI Library kernels, and expanded Neuron Agentic Development skills to aid model porting and validation. The release targets ML developers optimizing training and inference or porting models to AWS Trainium and Inferentia, and it is available in Regions supporting Trn1/Trn2/Trn3 and Inf1/Inf2 instances.

🚀 Amazon RDS Multi-AZ instances now use ENA Express to accelerate cross-AZ replication traffic. ENA Express leverages AWS's Scalable Reliable Datagram (SRD) protocol to deliver up to 25 Gbps single-flow bandwidth, improve congestion control and multi-pathing, and reduce latency variability for synchronous replication. This enhancement increases write throughput and lowers write latencies for write-intensive workloads and is available at no extra charge for several RDS engines across numerous regions. To enable on existing instances, perform a start-stop or scale compute action and consult the user guide for supported instance types.

🛈 Amazon VPC IP Address Manager (IPAM) now supports tags on IPAM pool allocations, letting customers organize, govern, and control access to individual IP address allocations using existing tagging workflows. Tags can be applied at creation or added to existing allocations and referenced in AWS Identity and Access Management and Service Control Policies for centralized governance. Administrators can enforce environment-based allocation controls and teams can search and filter allocations by tag across accounts. The feature is available in all AWS Regions where IPAM is supported at no additional cost.

🔧 The AWS Glue Data Catalog Client for Apache Hive Metastore now supports Hive 3 and can discover multiple catalogs in the Glue Data Catalog. This open-source reference implementation enables Hive-compatible clients to list and read multiple catalogs and serves as a foundation for customers and partners to build their own integrations. See the announcement for details on using the client.

🧭 Amazon SageMaker Unified Studio IAM domains now include an interactive interface for creating and managing feature groups in SageMaker Feature Store, removing the need to write code for common feature management tasks. This launch makes feature management accessible to data scientists, ML engineers, and business analysts from a single collaborative environment. Users can discover and search existing features, create and modify feature groups, view definitions and schemas, and monitor data ingestion status without API calls. Features created elsewhere appear immediately in SageMaker Unified Studio when sharing the same IAM role, enabling seamless workflows across the ML lifecycle.

🔐 AWS Security Agent now generates verification scripts for penetration test findings to help teams reproduce and validate discovered vulnerabilities. The tool creates ready-to-run scripts for each confirmed finding that include setup instructions, documented environment variables, and redacted sensitive values. Teams download the script, configure variables, and execute it against targets to streamline triage and speed remediation. Verification scripts are available in all Regions where AWS Security Agent is supported.

🔄 Amazon WorkSpaces now supports WorkSpace Migration for all Linux operating systems offered by the service, enabling seamless migration between Linux OS versions and distributions. The feature automatically transfers user data from a Linux WorkSpace’s home directory to the new WorkSpace, removing the need for manual data copying. Supported in AWS commercial and AWS GovCloud (US) Regions where WorkSpaces Personal is available, the capability helps streamline OS upgrades and migrations without disrupting end users.

🔒 AWS Clean Rooms now supports mutable, fine-grained payment configurations that let collaboration members flexibly assign payment responsibilities. Customers can designate which partners are authorized to pay for specific cost types—such as SQL queries, PySpark jobs, ML training and inference, and synthetic data generation—after a collaboration is created. Authorized payers can be added or removed via change requests that require member approval; SQL and PySpark analyses may have multiple payers and one can be chosen at submission.

🔍 Amazon CloudWatch Logs Insights query language gains 13 new commands and functions to enhance log querying, transformation, and analysis. New features include string and numeric functions like round, startswith, endswith, case, regex_replace, and haversine, encoding/decoding functions such as urlencode, urldecode, base64encode, base64decode, and parse/analysis commands like parse logfmt, expand, and relevantfields. These additions enable prefix filtering, inline Base64 decoding, logfmt parsing, JSON array expansion, geographic distance calculation, and automatic surfacing of relevant fields across high-cardinality groups.

🚀 Amazon EMR now supports Apache Spark 4.0.2 across all deployment models, adding ANSI SQL and VARIANT data type support to simplify data pipelines. The release enables fine-grained access control (FGAC) for read and write operations on Lake Formation registered tables and adopts Apache Iceberg v3 for stronger transaction guarantees and lineage tracking. Enhanced streaming capabilities improve stateful processing and monitoring for real-time applications.

🔧 Amazon SageMaker Unified Studio now automatically creates Glue connections across subnets to enable job retries when a primary subnet becomes unavailable. Administrators define a domain VPC with multiple private subnets and the system provisions connectors for new projects so retries can run on alternate subnets without manual intervention. This reduces unplanned data-pipeline downtime and helps meet SLAs across AWS Regions where SageMaker Unified Studio is available.

🧩 Amazon SageMaker Inference now supports OpenAI-compatible APIs, enabling existing tools and frameworks like the OpenAI SDK, LangChain, and Strands Agents to connect directly to SageMaker endpoints. Switching requires only changing an endpoint URL, with no custom integration code or SDK wrappers. You can continue using your current authentication approach while choosing GPU instances, keeping data in your VPC, running open source or fine-tuned models, and leveraging auto-scaling policies. This capability is available today across multiple AWS regions with AWS credentials and automatic token refresh for production use.