Kategorie: Amazon AWS

OpenAI GPT-6 Sol and GPT-6 Luna are now generally available on Amazon Bedrock 

Today, AWS announces the general availability of GPT-6 Sol and GPT-6 Luna from OpenAI on Amazon Bedrock. Expanding the GPT-6 family alongside Astra, these two models give teams more ways to balance intelligence, speed, and cost across every workload. Sol is the daily model for recurring complex tasks and software development. On an internal OpenAI factuality evaluation, it makes roughly half as many mistakes as GPT-5.6 Sol. Luna is the family’s most efficient model for focused, high-volume tasks such as summarization, extraction, classification, and routing. Both models support up to 1M tokens of context. The Amazon Bedrock inference engine delivers the performance, security, and scale required for production workloads.
GPT-6 Sol can implement features, debug issues, review and refactor code, analyze data, and complete multistep workflows across tools. Improvements in coding and computer use help it carry tasks from investigation through validation. GPT-6 Luna handles high-volume workloads like extraction, summarization, classification, and routing, with adjustable reasoning effort to balance quality, speed, and cost per request. Established AWS controls help you secure workloads, govern access, and audit model invocation activity.
You can get started with GPT-6 Sol and GPT-6 Luna in the Amazon Bedrock console or programmatically through supported Amazon Bedrock APIs. For information about supported AWS Regions, endpoints, APIs, features, inference profiles and pricing, see the Amazon Bedrock documentation. To learn more, read the blog.
Quelle: aws.amazon.com

Amazon EVS now in scope for FedRAMP Class C

The Amazon Elastic VMware Service (EVS) service is now in scope for FedRAMP Class C (formerly Moderate baseline) in all United States Regions. 

The  Federal Risk and Authorization Management Program (FedRAMP) is a US government-wide program that delivers a standard approach to the security assessment, authorization, and continuous monitoring for cloud products and services. Amazon EVS lets you run the latest VMware Cloud Foundation (VCF) software directly within your Amazon Virtual Private Cloud (VPC) on EC2 bare-metal instances. You can set up a complete VCF environment in just a few hours, enabling rapid workload migration to AWS to help you eliminate aging infrastructure, reduce operational risks, and meet critical timelines for exiting your data center.

To learn more, visit the FedRAMP AWS services in scope page. To learn more about Amazon EVS, visit the product detail page and user guide. 
Quelle: aws.amazon.com

Amazon ECS now provides real-time deployment observability in the AWS Management Console

Amazon Elastic Container Service (Amazon ECS) now provides real-time service deployment observability in the Amazon ECS Console for native Linear, Canary, and Blue/Green deployment strategies. With this launch, deployment monitoring and troubleshooting come together in one place in the console, so you can track deployment progress, monitor health, and diagnose failures without switching between tools.
Real-time service deployment observability includes a live deployment timeline that narrates each service deployment as it happens, showing every deployment phase, service events, and task launch and termination progress, always reflecting the current state. As a deployment moves forward, you can follow the traffic shift distribution across your source and target revisions and see the current lifecycle stage at a glance, whether it is scaling up green tasks, waiting on a lifecycle hook, or sitting through bake time. Deployment health signals that you would otherwise gather from separate tools now sit alongside the timeline: circuit breaker status with live task failure and threshold tracking, deployment alarm state, container and load-balancer health checks, and lifecycle hook status. When something goes wrong, failed tasks surface right in the timeline with diagnostic context and deep links to services such as AWS CloudTrail, so you can pinpoint the root cause and act on it quickly.

These capabilities are available at no additional charge in all AWS commercial Regions, and AWS GovCloud (US) Regions for all Amazon ECS services using the Amazon ECS native Linear, Canary, and Blue/Green deployment types. To get started, navigate to any Amazon ECS service in the Amazon ECS Console and select the Deployments tab.
Quelle: aws.amazon.com

Amazon EC2 I7ie instances now available in AWS Israel region

AWS is announcing starting today, Amazon EC2 I7ie instances are now available in AWS Israel (Tel Aviv) region. Designed for large storage I/O intensive workloads, I7ie instances are powered by 5th Gen Intel Xeon Processors with an all-core turbo frequency of 3.2 GHz, offering up to 40% better compute performance and 20% better price performance over existing I3en instances. I7ie instances offer up to 120TB local NVMe storage density for storage optimized instances and offer up to twice as many vCPUs and memory compared to prior generation instances. Powered by 3rd generation AWS Nitro SSDs, I7ie instances deliver up to 65% better real-time storage performance, up to 50% lower storage I/O latency, and 65% lower storage I/O latency variability compared to I3en instances.

I7ie are high density storage optimized instances, ideal for workloads requiring fast local storage with high random read/write performance at very low latency consistency to access large data sets. These instances are available in 9 different virtual sizes and deliver up to 100Gbps of network bandwidth and 60Gbps of bandwidth for Amazon Elastic Block Store (EBS).

To learn more, visit the I7ie instances page.
Quelle: aws.amazon.com

Amazon EC2 X8i instances are now available in the South America (São Paulo) Region

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) X8i instances are available in the South America (São Paulo) region. These instances are powered by custom Intel Xeon 6 processors available only on AWS. X8i instances are SAP-certified and deliver the highest performance and fastest memory bandwidth among comparable Intel processors in the cloud. They deliver up to 43% higher performance, 1.5x more memory capacity (up to 6TB), and 3.3x more memory bandwidth compared to previous generation X2i instances.
X8i instances are designed for memory-intensive workloads like SAP HANA, large databases, data analytics, and Electronic Design Automation (EDA). Compared to X2i instances, X8i instances offer up to 50% higher SAPS performance, up to 47% faster PostgreSQL performance, 88% faster Memcached performance, and 46% faster AI inference performance. X8i instances come in 14 sizes, from large to 96xlarge, including two bare metal options.
To get started, visit the AWS Management Console. X8i instances can be purchased via Savings Plans, On-Demand instances, and Spot instances. For more information visit X8i instances page.
Quelle: aws.amazon.com

AWS Resilience Hub adds three new capabilities

The next generation of AWS Resilience Hub is a central location in the AWS that helps platform engineering and site reliability teams assess and strengthen the resilience of their workloads running on AWS. It provides automated dependency discovery, generative AI-powered failure mode analysis, modular resilience policies, resilience testing, and organization-wide resilience posture reporting. Today, AWS Resilience Hub adds three new capabilities: EKS labels support for service input sources, dependency insights, and resilience policy sharing through AWS Organizations.
EKS labels support for service input sources. Resilience Hub now supports EKS labels within a namespace as a service input source, allowing customers to use their existing Kubernetes labeling conventions to scope exactly which resources Resilience Hub discovers and uses during failure mode analysis. This ensures assessments stay aligned with how teams organize their EKS workloads.
Dependency insights. Customers who enable dependency discovery can now generate dependency insights, a new generative AI-powered capability that analyzes discovered application dependencies and highlights meaningful patterns. Dependency insights surfaces new dependencies, identifies cross-Region dependencies, and flags unusual usage patterns. This helps teams accelerate dependency analysis and identify potential new risks.
Resilience policy sharing through AWS Organizations. Resilience Hub now supports sharing resilience policies through AWS Organizations, enabling central teams to build and manage policies that can be applied across multiple accounts. This provides organization-wide observability into which services are using each policy, making it easier to monitor adoption and ensure consistent resilience posture across the organization.
To get started, visit the  AWS console. To learn more, see the product page or visit the documentation.
Quelle: aws.amazon.com

The new AgentCore Runtime is now available in Amazon Bedrock AgentCore

Today, AWS announces the availability of the next generation of AgentCore Runtime, the serverless microVM compute within Amazon Bedrock AgentCore. The new Runtime delivers elastic memory management that reclaims unused memory throughout the session so you pay for actual usage rather than the peak, and consistent cold start times regardless of container image size or concurrency. You get the serverless model you already rely on: no pre-provisioning, scale to zero, hardware-enforced session isolation, and pay only for what you use – now with lower costs and faster starts.
With the new Runtime, each session starts with a small, efficient memory profile. Additional memory is allocated on demand as the workload needs it, and memory that is no longer actively used is reclaimed rather than held until the session ends. For cold starts, the new Runtime prepares the agent environment once and snapshots it. Every new instance restores from that snapshot instead of repeating the full startup sequence, keeping start times consistent regardless of image size. In testing, the new Runtime delivered a P75 cold start of 1.9 to 2.0 seconds for container images from 200 MB to 2 GB, compared to 5.4–30 seconds with V1.
The new AgentCore Runtime is available in the following regions: us-east-1, us-east-2, us-west-2, eu-west-1, and ap-northeast-1. To get started, set platformVersion to V2 when creating or updating a runtime.
To learn more, visit the AgentCore Runtime documentation or the AWS News Blog. For pricing details, visit AgentCore pricing.
Quelle: aws.amazon.com

Kimi K3 by Moonshot AI is now generally available on Amazon Bedrock

Amazon Bedrock continues to expand its open weight model portfolio with the same security and governance that customers rely on. Today, Kimi K3 from Moonshot AI is generally available on Amazon Bedrock, giving you a powerful new option for coding and knowledge work.
According to Moonshot AI, Kimi K3 is its most capable model and the first open model to reach 2.8 trillion parameters. It combines native vision capabilities with a 1-million-token context window, making it well suited to long-running coding sessions across large repositories, multi-document analysis including scanned pages and screenshots, and extended agent workflows. Moonshot AI reports an approximate 2.5x improvement in scaling efficiency over Kimi K2. On Amazon Bedrock, Kimi K3 runs within the same security boundary as proprietary models, and the same controls for access, encryption, and auditing across your model portfolio. Kimi K3 is the first open weight model on Amazon Bedrock to support explicit prompt caching, helping reduce latency and input costs when reusing context across model calls.
Kimi K3 is available in all AWS Regions where Amazon Bedrock is available through cross-Region inferencing. To get started, visit the Amazon Bedrock Console. To learn more, see the Amazon Bedrock documentation and read the launch blog post.
Quelle: aws.amazon.com

AWS RTB Fabric now supports configurable Availability Zone affinity

AWS RTB Fabric now supports configurable Availability Zone (AZ) affinity for responder gateways. With this capability, you can configure how your partners connect to your responder gateway: either in their own Availability Zone or to any Availability Zone that the gateway spans. This launch helps advertising technology (AdTech) companies use their infrastructure more efficiently—with no extra charges on RTB Fabric.
Demand-side platforms (DSPs) and supply-side platforms (SSPs) run their bidding systems across multiple Availability Zones. Previously, AWS RTB Fabric sent each request to available gateway capacity in the requester’s own Availability Zone (AZ), so capacity in other AZs could go unused. Now you can set a client routing policy to control this: prefer the requester’s own AZ to avoid added latency of crossing a boundary, or use every AZ that the responder gateway spans to give each requester access to more gateway capacity. Configurable Availability Zone affinity is available in all AWS Regions where AWS RTB Fabric is available. See the AWS RTB Fabric User Guide for fleet requirements before enabling.
AWS RTB Fabric helps you connect with your AdTech partners such as Amazon Ads, GumGum, Kargo, MobileFuse, Sovrn, TripleLift, Viant, Yieldmo, and more in three steps while delivering single-digit millisecond latency through a private, high-performance network environment. RTB Fabric reduces standard cloud networking costs by up to 80% and does not require upfront commitments. AWS RTB Fabric is generally available in the following AWS Regions: US East (N. Virginia), US West (Oregon), Asia Pacific (Singapore), Asia Pacific (Tokyo), Europe (Frankfurt), and Europe (Ireland). See the AWS RTB Fabric Product Page to learn more.
Quelle: aws.amazon.com

Amazon ECS Express Mode now supports AWS Graviton (ARM64) workloads

Amazon Elastic Container Service Express Mode now supports specifying ARM64 as the CPU architecture for your service, making it easy to deploy ARM-based container images on AWS Graviton-powered compute and benefit from up to 40% better price-performance compared to x86-based instances.
Amazon ECS Express Mode makes it easy to rapidly launch containerized applications, including web applications and APIs, by orchestrating and managing the cloud architecture for your application. You provide your container image, and ECS Express Mode handles the rest, configuring networking, load balancing, auto scaling, and deployments, and providing your application with an auto-generated URL. With ARM64 architecture support, you can choose the compute architecture that fits your workload, whether you’re optimizing for cost with Graviton, matching your existing fleet, or deploying images built natively for ARM.
You can configure the CPU architecture for new and existing Amazon ECS Express Mode services using the AWS Management Console, AWS CLI, AWS SDKs, and infrastructure as code (IaC) tools. This capability is available in all AWS commercial Regions and AWS GovCloud (US) Regions. To learn more, see the ECS Express Mode documentation.
Quelle: aws.amazon.com