Kategorie: Amazon AWS

Amazon EC2 P6-B300 instances are now available in the AWS Asia Pacific (Jakarta) Region

Starting today, Amazon Elastic Cloud Compute (Amazon EC2) P6-B300 instances are available in the AWS Asia Pacific (Jakarta) Region. P6-B300 instances provide 8xNVIDIA Blackwell Ultra GPUs with 2.1 TB high bandwidth GPU memory, 6.4 Tbps EFA networking, 300 Gbps dedicated ENA throughput, and 4 TB of system memory.
P6-B300 instances deliver 2x networking bandwidth, 1.5x GPU memory size, and 1.5x GPU TFLOPS (at FP4, without sparsity) compared to P6-B200 instances, making them well suited to train and deploy large trillion-parameter foundation models (FMs) including large language models (LLMs) with sophisticated techniques. The higher networking and larger memory deliver faster training times and more token throughput for AI workloads.
P6-B300 instances are now available in p6-b300.48xlarge size in the following AWS Regions: US West (Oregon), AWS GovCloud (US-East), US East (N. Virginia), Asia Pacific (Hyderabad, Jakarta, Seoul), and South America (Sao Paulo) Regions. To learn more about P6-B300 instances, visit Amazon EC2 P6 instances.
Quelle: aws.amazon.com

Amazon EC2 P6-B200 instances are now available in the AWS Asia Pacific (Hyderabad) Region

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) P6-B200 instances accelerated by NVIDIA Blackwell GPUs are available in the AWS Asia Pacific (Hyderabad) Region. These instances offer up to 2x performance compared to P5en instances for AI training and inference.
P6-B200 instances feature 8 Blackwell GPUs with 1440 GB of high-bandwidth GPU memory and a 60% increase in GPU memory bandwidth compared to P5en, 5th Generation Intel Xeon processors (Emerald Rapids), and up to 3.2 terabits per second of Elastic Fabric Adapter (EFAv4) networking. P6-B200 instances are powered by the AWS Nitro System, so you can reliably and securely scale AI workloads within Amazon EC2 UltraClusters to tens of thousands of GPUs.
P6-B200 instances are now available in p6-b200.48xlarge size in the following AWS Regions: US West (Oregon), US East (N. Virginia, Ohio), AWS GovCloud (US-West, US-East), and Asia Pacific (Hyderabad, Mumbai) Regions. To learn more about P6-B200 instances, visit Amazon EC2 P6 instances.
Quelle: aws.amazon.com

Amazon ECS Managed Daemons now support non-critical daemons

Amazon Elastic Container Service (Amazon ECS) now support non-critical Managed Daemons for ECS Managed Instances. You can configure a daemon as non-critical so that your mission-critical application tasks continue running uninterrupted, even when a daemon fails, stops, or becomes unhealthy.
Amazon ECS Managed Daemons lets you centrally deploy and manage software agents independently of application deployments to ensure consistent coverage and compliance across your container infrastructure. For some mission-critical applications, uninterrupted execution of application tasks may matter more than auxiliary daemon functionality like logging or metrics collection. With this launch, you can now configure a managed daemon as non-critical so that its failure does not cause your application tasks to churn. When a non-critical daemon task fails, stops, or becomes unhealthy, the container instance remains active, your existing application tasks continue running uninterrupted, ECS continues placing new application tasks on it, and instance registration is never blocked, so your tasks launch immediately even when the daemon fails to start. Amazon ECS emits an EventBridge event when a daemon task fails to start and records service action logs for both critical and non-critical daemons, giving you full observability into daemon health.
To get started, you can use AWS Console, CLI, CloudFormation, or AWS SDKs to create a non-critical daemon by setting the critical parameter to false when creating or updating a daemon. Non-critical daemons are available in all AWS Regions where Amazon ECS Managed Daemons are supported. To learn more, refer to our documentation page.
Quelle: aws.amazon.com

Amazon Aurora MySQL now supports multi-source replication and delayed replication

Starting today, Amazon Aurora MySQL supports two new replication capabilities: multi-source replication and delayed replication. Multi-source replication lets a single Aurora MySQL cluster replicate from multiple source databases at the same time, making it easier to consolidate data from separate MySQL databases. This enables critical use-cases, such as merging shards or aggregating data from separate databases (e.g. regional or departmental instances) into a central location for operational workflows, such as reporting and backups. To learn more, please refer to the MySQL multi-source replication documentation. Delayed replication lets you configure a binlog replica to intentionally lag behind its source by a set period of time, giving you a simple safeguard against human error and logical data corruption. If a harmful change is made on the source, you can recover quickly by stopping replication to the replica before the change is applied and promoting it, without performing a full database restore. A delayed replica also provides a convenient fallback during upgrades and a way to inspect an earlier state of your data. To learn more, please refer to the MySQL delayed replication documentation. Together, these capabilities give you greater flexibility and stronger data protection when replicating into Aurora MySQL. Multi-source replication and Delayed replication are supported on Aurora MySQL version 8.4.8 and higher, in all AWS Regions where Aurora MySQL is available. For additional information on Aurora MySQL disaster recovery, see the guidance from our solutions library. To learn more, please refer to Aurora MySQL 8.4 release notes. Amazon Aurora is designed for high performance and availability at global scale with full MySQL compatibility. It provides scale-to-zero serverless compute, Aurora Global Database for multi-Region resilience, Aurora I/O-Optimized for improved price performance on I/O-intensive workloads, and built-in security and continuous backups. To get started, take a look at Aurora’s getting started page. 
Quelle: aws.amazon.com

Amazon Redshift rg.large instances now support single-node clusters

Amazon Redshift rg.large instances, powered by AWS Graviton processors, now support single-node clusters. Single-node support for rg.large clusters is available on P204 or later patch versions. Customers can now create a single-node rg.large cluster for smaller workloads that do not require high availability, offering a cost-effective option to conduct proofs of concept and tests quickly.
RG instances deliver up to 2.4x faster performance running data warehouse and data lake workloads when compared to previous generation RA3 instances, at 30% lower price per vCPU. RG instances include Redshift’s custom-built vectorized data lake query engine that processes Apache Iceberg and Parquet data on your cluster nodes, turning on SQL analytics across your data warehouse and data lake using a single engine.
These RG instances are available in the following AWS Regions: Africa (Cape Town), Asia Pacific (Hong Kong), Asia Pacific (Tokyo), Asia Pacific (Seoul), Asia Pacific (Osaka), Asia Pacific (Mumbai), Asia Pacific (Hyderabad), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Jakarta), Asia Pacific (Melbourne), Asia Pacific (Malaysia), Asia Pacific (Taipei), Asia Pacific (Thailand), Canada (Central), Europe (Frankfurt), Europe (Stockholm), Europe (Spain), Europe (Ireland), Europe (London), Europe (Paris), South America (São Paulo), US East (N. Virginia), US East (Ohio), US West (N. California), US West (Oregon), AWS GovCloud (US-East), AWS GovCloud (US-West) and Mexico (Central).
To learn more, visit the Amazon Redshift RG Instance Documentation, the RA3 to RG Upgrade Guide, and the Amazon Redshift pricing page.
Quelle: aws.amazon.com

Amazon WorkSpaces Applications adds support for NVIDIA Blackwell GPU instances

Amazon WorkSpaces Applications now supports Graphics G7 instances, powered by NVIDIA RTX PRO 4500 Blackwell Server Edition GPUs and Intel Xeon Scalable (6th Gen) processors. G7 instances deliver up to 2.1× better performance for graphics-intensive workloads compared to previous generation G6 instances.
With Graphics G7, customers can stream demanding professional applications such as CAD/CAM, 3D rendering, scientific visualization, video editing, and AI-assisted design workflows at higher fidelity and frame rates. G7 instances feature 32 GB of GDDR7 GPU memory per GPU and 2.67× faster memory bandwidth, enabling streaming of larger, more complex 3D scenes and models. Six instance sizes are available, with 1 to 8 GPUs, vCPUs ranging from 8 to 192, and system memory from 32 GB to 768 GB.
Graphics G7 instances are available in US East (N. Virginia), US East (Ohio), and US West (Oregon). Additional regions will be added as availability expands.
To get started, select a Graphics G7 instance when launching an image builder or creating a new fleet in the Amazon WorkSpaces Applications console. For more information on available instance types, see WorkSpaces Applications Instance Families. To learn more about G7 GPU capabilities, visit the EC2 G7 Instance Types page. For pricing details, see Amazon WorkSpaces Applications Pricing.
Quelle: aws.amazon.com

Introducing Amazon Quick Max: 5x the usage for power users who want the most out of Quick

Amazon Quick now offers Quick Max, a new plan for power users who want to get the absolute most out of Quick. With 5x the usage and 5x the storage of Plus, Max gives you the room to do more: more agents, more workflows, more of whatever makes Quick yours. 
With Max, you can run large, concurrent workloads without interruption—all month long. It delivers more value per dollar the more you use it and is available with both monthly and annual billing options.  
New to Amazon Quick? You can sign up for free in minutes. Already on Plus? Click your name at the bottom of the left navigation bar, then select “Upgrade plan” to switch to Max. To compare all available plans—Free, Plus, and Max—visit the Amazon Quick pricing page. 
Quelle: aws.amazon.com

Amazon CloudFront announces API support for flat-rate pricing plans

Starting today, customers can subscribe and manage flat-rate pricing plans programmatically using the AWS CLI, AWS SDKs, CloudFormation, CDK, or the PricingPlanManager API.
CloudFront flat-rate plans give you one monthly price covering global content delivery, WAF, DDoS, DNS, logging, and edge compute, with no usage-based overage charges regardless of traffic spikes or attacks. Previously, customers could only subscribe to flat-rate pricing plans using the console, which required manual steps when using the API or infrastructure as code (IaC) like CloudFormation to create and manage distributions. Now, customers can programmatically subscribe, upgrade, downgrade, and cancel flat-rate pricing plans using the API or IaC tools.
Paid plans support an optional two-phase activation flow: you first create the plan, then approve it to begin billing. This prevents you from being committed to charges before you confirm, and makes the API well-suited for automated workflows and agents that provision infrastructure on your behalf. Free plans activate immediately and don’t require approval. To learn more, refer to the Getting started with the PricingPlanManager API. There are no additional fees for using the API to manage flat-rate pricing plans.
Quelle: aws.amazon.com

Second-generation AWS Outposts racks now in the AWS GovCloud (US) Regions

Second-generation AWS Outposts racks are now supported in the AWS GovCloud (US-East) and AWS GovCloud (US-West) Regions. Outposts racks extend AWS infrastructure, AWS services, APIs, and tools to virtually any on-premises data center or colocation space for a truly consistent hybrid experience. Organizations from startups to enterprises and the public sector can now order their Outposts racks connected to the new supported regions, optimizing for their latency and data residency needs. Outposts allows customers to run workloads that need low latency access to on-premises systems locally while connecting back to their home Region for application management. Customers can also use Outposts and AWS services to manage and process data that needs to remain on-premises to meet data residency requirements. This regional expansion provides additional flexibility in the AWS Regions that customers’ Outposts can connect to. To learn more about second-generation Outposts racks, read this blog post and user guide. For the most updated list of countries and territories and the AWS Regions where second-generation Outposts racks are supported, check out the Outposts rack FAQs page.
Quelle: aws.amazon.com

Amazon Connect Customer announces general availability of agentic CX designer

Amazon Connect Customer announces the general availability of agentic CX designer, a no-code canvas for designing and deploying AI-powered self-service experiences. You can now build and launch voice and digital experiences that bring agentic and deterministic AI together to transform how you serve customers with the control and reliability enterprises demand. Your business teams users can go from designing conversations and integrating with the systems that run your business, to testing, to launching production-ready experiences in weeks, not months.
Agentic CX designer gives you the clarity of a flowchart with the power of a large language model. On a visual canvas you define the logic, guardrails, and integrations, and the model handles the natural conversation. For outcomes that have to be exact, such as eligibility, approvals, routing, or compliance, you define the workflow and the conversation follows it. You build, test, and deploy in the same place, so the team that designs an experience can validate it and put it into production without writing code or handing the work to engineering.
Quelle: aws.amazon.com