All news with #product update tag

🔬 AWS HealthOmics now lets customers specify the Nextflow engine version at run time via the StartRun API, enabling explicit version pinning for controlled migration. Supported versions include 22.04, 23.10, 24.10, 25.10, and 26.04 via a new engine-settings parameter. This run-time override takes precedence over manifest.nextflowVersion, allowing testing across engine versions without changing workflow source. The feature is available in all AWS HealthOmics regions and supports HIPAA-eligible, production-regulated workflows.

🔬 AWS HealthOmics now supports Nextflow version 26.04, enabling customers to use new Nextflow features like record types, the strict syntax parser, workflow output summaries, and agent logging mode. The service is HIPAA-eligible and provides fully managed bioinformatics workflows for healthcare and life sciences. Nextflow v26.04 is available across all AWS HealthOmics regions, improving pipeline reliability, readability, and integration with downstream tools.

📣 Amazon Simple Email Service (SES) introduced enhanced deliverability features that report inbox placement percentages and public email blocklist status. These insights use representative industry samples to show how many messages are routed to spam folders and provide visibility by sending domain and campaign. SES also offers pre-send content testing to estimate inbox placement at major mailbox providers and passive monitoring of blocklist activity. The new capabilities are available in all AWS commercial regions where SES is offered.

📣 AWS End User Messaging now supports RCS for Business messaging in 20 additional countries, bringing coverage to 22 countries including the United States and Canada. Businesses can use the existing SendTextMessage API with no code changes, and messages are delivered from a recognized business identity. Devices that do not support RCS automatically fall back to SMS, and RCS for Business is available in all Regions where AWS End User Messaging operates.

📅 Amazon Connect Customer now supports scheduling tasks up to 90 days in advance, enabling organizations to plan, route, and track long-running follow-up work. Examples include scheduling adjuster visits, parts availability checks, and repair completion follow-ups, with tasks routed to the appropriate team and carrying relevant claim context. Tasks can be scheduled via the StartTaskContact API, contact flows, or the agent workspace. This capability is available in all commercial and AWS GovCloud (US) regions where Amazon Connect Customer is offered.

🟦 Amazon Redshift Serverless now supports a lower base capacity of 4 Redshift Processing Units (RPUs) in seven regions, including Asia Pacific (Hong Kong), Seoul, Canada (Central), Europe (London), South America (Sao Paulo), and AWS GovCloud (US-East and US-West). Each RPU equals 16 GB of memory and billing is per-second in RPU-hours; the new entry-level starts at about $1.50 per hour. Previously the minimum was 8 RPUs. The configuration supports up to 32 TB of managed storage, up to 100 columns per table, and a maximum of 64 GB memory, and capacity reservations are available for 1- and 3-year terms for predictable workloads.

🟢 Oracle Database@AWS is now generally available in eight additional AWS Regions — Zurich, Milan, Spain, Paris, Osaka, Singapore, Melbourne, and Sao Paulo — enabling customers to access OCI-managed Oracle Exadata systems from within AWS data centers. This expansion brings the service to twenty regions total, supporting migrations of on-premises Oracle Exadata and Oracle RAC workloads and meeting in-region data residency requirements. Customers can request a private offer from Oracle via the AWS Marketplace and configure databases through the AWS Management Console.

🟦 Amazon S3 Tables are now available in the Asia Pacific (Taipei) and Asia Pacific (New Zealand) AWS Regions. S3 Tables provide an object store with built-in Apache Iceberg support, enabling scalable tabular data storage and making data queryable by AWS and third-party engines. They perform continual table maintenance to optimize queries and reduce storage costs, and integrate with the Intelligent-Tiering storage class for automated cost management without operational overhead.

🛈 Amazon Connect Customer now offers generative AI-powered post-contact summaries in eight new language families — Portuguese, French, Italian, German, Spanish, Chinese, Japanese, and Korean — and extends support for non-US English locales such as British and Australian English. These summaries provide concise, structured overviews of voice, chat, and email interactions to help agents and managers review contacts without reading full transcripts. The new languages are available in all AWS Regions where post-contact summaries are supported, enabling global teams to generate summaries in the conversation language and maintain locally appropriate spelling and terminology.

📈 Partners can now submit opportunities in AWS Partner Central using Total Contract Value (TCV), which the system converts to a forecasted monthly recurring revenue (MRR). When creating or updating opportunities, partners select an MRR estimation method — Forecast MRR from TCV, Forecast MRR, AWS Pricing Calculator, or Manual entry — and review the computed MRR before submission. The TCV-to-MRR conversion supports USD and EUR, accepts contract duration in months, and is available worldwide via the console and the AWS Partner Central API for Selling in US East (N. Virginia).

🚀 Amazon announces general availability of EC2 P5.48xl instances in Asia Pacific (Tokyo) for use with SageMaker notebook instances. These instances use NVIDIA H100 Tensor Core GPUs to accelerate deep learning and HPC workloads, promising up to 4x faster time to solution and up to 40% lower training costs versus previous GPU generations. Customers can leverage P5 instances to train and deploy complex LLMs and diffusion models for generative AI tasks. Developer guides provide setup instructions for JupyterLab and CodeEditor on SageMaker Studio and notebook instances.

🚀 Amazon EC2 P4de instances are now generally available on SageMaker notebook instances in Asia Pacific (Tokyo). These instances feature 8 NVIDIA A100 GPUs with 80GB HBM2e each, delivering 640GB total GPU memory and up to 60% better ML training performance versus P4d. Customers can expect reduced model training times, improved handling of high-resolution datasets, and about 20% lower training cost. See developer guides for setup details on SageMaker Studio and notebook instances.

🚀 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 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 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 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.