All news with #aws tag

🖥️ Amazon WorkSpaces Applications now supports Bring Your Own License (BYOL) for Windows Desktop operating systems, enabling customers to stream Microsoft 365 Apps for enterprise and full desktop experiences on hardware dedicated to their AWS account. Organizations can reduce costs by avoiding OS fees and maintain a consistent user experience between local and streamed environments. Availability spans multiple AWS Regions and requires meeting Microsoft licensing rules plus minimum monthly streaming commitments.

🔔 AWS IoT Core now supports direct point-to-point messaging to any connected device, enabling delivery acknowledgements and improved visibility into message status. The new SendDirectMessage API lets you send messages directly to a device and optionally receive delivery confirmations. Delivery acknowledgements produce detailed API response codes and Amazon CloudWatch Logs for diagnostics. Direct messaging is available in all regions where AWS IoT Core operates, including Amazon China and AWS GovCloud (US).

📈 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 Connect Customer Assistant is integrated into the UI builder, allowing contact center managers to create and modify views using natural language. Managers can describe desired screens, like “Create a feedback form with rating and comment fields,” and the assistant generates UI components for review before publishing. This capability can reduce time and required expertise by up to 70% when building Views for Step-by-Step Guides and Workspace pages.

🚀 Amazon announced the general availability of EC2 P6-B200 instances on SageMaker notebook instances in AWS US East (N. Virginia). These instances feature 8 NVIDIA Blackwell GPUs with 1440 GB GPU memory and 5th Gen Intel Xeon processors, offering up to 2x performance versus P5en for AI training. Customers can use them to develop and fine-tune large foundation models interactively in JupyterLab or CodeEditor on SageMaker Studio.

🚀 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 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 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.

🎥 AWS Elemental Inference introduces Smart subtitles, an AI-driven capability that produces real-time TTML-formatted captions for live streams with low latency. The feature supports English (US, GB, AU), French, German, Italian, Portuguese, and Spanish and integrates natively with AWS Elemental MediaLive. Users can create custom dictionaries via the Elemental Inference API or console to improve accuracy for domain-specific terms. Smart subtitles co-exist with other Elemental Inference features and benefit from non-linear pricing when multiple features are applied to the same content.

🚀 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 Web Services announces general availability of Amazon EC2 P5en.48xl instances on SageMaker notebook instances. These P5en instances feature 8 H200 GPUs with increased GPU memory and bandwidth versus H100, paired with custom 4th Gen Intel Xeon processors and Gen5 PCIe for higher CPU–GPU bandwidth. They also include third-generation EFA via Nitro v5, offering up to 3200 Gbps and latency improvements over prior P5 instances. P5en.48xl is currently available in US East (N. Virginia, Ohio), US West (Oregon), and Asia Pacific (Tokyo).

🚀 Amazon SageMaker notebook instances now support EC2 P5.4xl instances powered by NVIDIA H100 GPUs. These instances boost deep learning and HPC workloads, offering up to 4x faster time-to-solution and up to 40% lower training cost versus prior GPU generations. P5.4xl is available in multiple AWS regions including US East, US West, Asia Pacific, and South America; see AWS developer guides for setup instructions.

🚀 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 Connect Customer now uses generative AI to automatically evaluate self-service interactions and surface aggregated insights to improve customer experience. Managers can create custom evaluation criteria in natural language within evaluation forms, such as "Were all of the customer issues resolved by the AI agent?", and the generative AI assesses interaction quality with detailed reasoning and reference points from transcripts. Insights are available both in aggregate and per contact, alongside recordings and transcripts for performance improvement. This feature is available in multiple AWS Regions including N. Virginia, Oregon, Seoul, Singapore, Sydney, Tokyo, and Frankfurt.

🚀 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.

🔒 Amazon Connect Customer now supports tag-based access controls for the agent login/logout report, allowing administrators to apply granular permissions to meet compliance and regulatory needs. Contact center admins can use resource tags to limit who can view login/logout data for specific agents—for example, tagging agents with Department:Customer Service to allow only that team's manager to view their login/logout details. The feature is available in all AWS commercial and AWS GovCloud (US-West) regions where Amazon Connect Customer is offered.

🚀 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.