Kategorie: Amazon AWS

langcache-embed-v3-small, Mellum2-12B-A2.5B-Thinking, and LightOnOCR-2-1B models now available on Amazon SageMaker JumpStart

Redis’s langcache-embed-v3-small, JetBrains’ Mellum2-12B-A2.5B-Thinking, and LightOn’s LightOnOCR-2-1B models are now available on Amazon SageMaker JumpStart, expanding the portfolio of foundation models available to AWS customers. These three models bring specialized capabilities spanning semantic caching optimization, code-focused reasoning, and end-to-end document OCR, enabling customers to deploy high-performance, scalable AI solutions on AWS infrastructure.
langcache-embed-v3-small is optimized for semantic caching in LLM applications. It maps sentences and paragraphs into a dense vector space purpose-built for identifying semantically equivalent queries regardless of phrasing, enabling intelligent cache hits that reduce redundant LLM calls and accelerate response times in high-volume inference workloads.
Mellum2-12B-A2.5B-Thinking excels in code generation, debugging, multi-step reasoning, and agentic coding workflows. It uses a Mixture-of-Experts architecture (64 experts, 8 activated per token), activating only 2.5B of its 12B total parameters per forward pass with a 131,072-token context length. It emits explicit chain-of-thought reasoning traces before final answers, delivering high-throughput, low-latency inference ideal for routing, RAG, sub-agents, and private deployments.
LightOnOCR-2-1B provides end-to-end multilingual document-to-text conversion for PDFs, scans, and images without brittle OCR pipelines. This 1B-parameter vision-language model directly transduces page images into clean, naturally ordered text, achieving state-of-the-art performance on OlmOCR-Bench while being ~9× smaller and significantly faster than competing approaches.
With SageMaker JumpStart, customers can deploy any of these models with just a few clicks to address their specific AI use cases. To get started with these models, navigate to the SageMaker JumpStart model catalog in the SageMaker console or use the SageMaker Python SDK to deploy the models to your AWS account. For more information about deploying and using foundation models in SageMaker JumpStart, see the Amazon SageMaker JumpStart documentation.
Quelle: aws.amazon.com

FLUX.2-small-decoder and gemma-4-12B-it models now available on Amazon SageMaker JumpStart

Black Forest Labs’ FLUX.2-small-decoder and Google’s gemma-4-12B-it models are now available on Amazon SageMaker JumpStart, expanding the portfolio of foundation models available to AWS customers. These two models bring specialized capabilities spanning efficient image generation decoding and unified multimodal understanding, enabling customers to deploy high-performance, scalable AI solutions on AWS infrastructure.
FLUX.2-small-decoder is optimized for faster image decoding with lower VRAM usage in FLUX.2 image generation pipelines. It is a distilled VAE decoder that serves as a drop-in replacement for the standard FLUX.2 decoder, delivering approximately 1.4× faster decoding speed at 1.4× lower VRAM consumption with minimal to zero quality loss. Benefits increase at higher resolutions where the decoder processes more pixels, making it ideal for production-grade image generation workloads at scale.
gemma-4-12B-it excels in unified multimodal understanding across text, image, and audio inputs with native support for function calling and agentic workflows. It features an encoder-free architecture where all modalities flow directly into a single decoder-only transformer, delivering performance nearing Google’s larger 26B MoE model at less than half the memory footprint. Compact enough to run on 16GB of RAM, it enables powerful multimodal and agentic experiences for enterprise deployments.
With SageMaker JumpStart, customers can deploy any of these models with just a few clicks to address their specific AI use cases.
To get started with these models, navigate to the SageMaker JumpStart model catalog in the SageMaker console or use the SageMaker Python SDK to deploy the models to your AWS account. For more information about deploying and using foundation models in SageMaker JumpStart, see the Amazon SageMaker JumpStart documentation.
Quelle: aws.amazon.com

AWS Elastic Disaster Recovery now preserves UEFI boot mode for Linux servers

AWS Elastic Disaster Recovery (AWS DRS) now preserves UEFI boot mode when recovering Linux source servers that boot with UEFI firmware. Previously, DRS launched these Linux servers in legacy BIOS mode, which could require extra configuration after recovery. Now your recovered Linux instances launch with the same UEFI boot mode as your source servers. This means your recovery instances more closely match your source environment, so applications that depend on UEFI boot behavior come back exactly as you expect — with no additional post-recovery steps. Boot mode preservation is automatic, with nothing to configure.
This capability is available in all AWS Regions where AWS DRS is offered, at no additional cost. To learn more, visit the AWS Elastic Disaster Recovery User Guide.
Quelle: aws.amazon.com

Amazon OpenSearch Serverless now supports up to 10,000 collections per collection group

The next generation of Amazon OpenSearch Serverless now supports up to 10,000 collections within a single collection group, increased from the previous limit of 1,500. Collection groups organize multiple collections and enable them to share OpenSearch Compute Units (OCUs), even when the collections are encrypted with different AWS KMS keys. With this higher limit, you can consolidate significantly more collections into a single collection group and manage them under a shared set of capacity limits.
Customers use collection groups to reduce costs by sharing compute across many collections rather than provisioning separate OCUs for each KMS key, while still maintaining collection-level security and access controls. As customer workloads have grown, particularly for multi-tenant applications that provision a collection per tenant, the previous limit of 1,500 collections per group constrained how many tenants could benefit from a shared compute pool. Raising the limit to 10,000 collections on the next generation of Amazon OpenSearch Serverless lets you scale these workloads further, improve compute utilization, and lower per-collection cost, without creating and operating additional collection groups. The higher limit applies automatically to new and existing nextgen collection groups.
The increased limit is available on the next generation of Amazon OpenSearch Serverless in all AWS Regions where it is available. To learn more, see Amazon OpenSearch Serverless technical documentation and quotas.
 
Quelle: aws.amazon.com

Amazon EC2 introduces application status checks

Amazon EC2 introduces application status checks, a new status check that helps customers detect and respond to application-level issues on their EC2 instances. With application status checks, EC2 monitors applications to detect issues such as a web server that has stopped accepting requests, a Docker daemon that is not running, an incorrect networking configuration, or a network interface that is no longer passing traffic.
Customers rely on EC2 status checks today to receive alerts when an instance or the underlying system is unreachable. However, to monitor application issues, customers had to build and maintain their own monitoring solution. Now, with application status checks customers can monitor the status of their applications running on EC2 instances alongside existing EC2 instance and system status checks. Customers create a check by specifying the protocol, port, and path to monitor, along with the response codes that indicate a healthy application. After customers associate the check with their instances by instance ID or tag, Amazon EC2 sends HTTP or HTTPS requests to that port and path and reports on the application’s status every 60 seconds. Auto Scaling groups act on application status, initiating recovery by replacing instances when their applications report unhealthy.
Application status checks are available in all commercial AWS Regions and AWS GovCloud (US) Regions.
To get started with application status checks and review pricing, see the Amazon EC2 User Guide.
Quelle: aws.amazon.com

Amazon VPC IPAM now supports BGP route protection monitoring and delegated RPKI for BYOIP prefixes

Amazon Virtual Private Cloud (VPC) IP Address Manager (IPAM) now supports BGP route protection monitoring and delegated Resource Public Key Infrastructure (RPKI) management for Bring Your Own IP (BYOIP) prefixes. Network administrators can centrally monitor BGP route protection and automate Route Origin Authorization (ROA) management across their organization.
Using BGP route monitoring, you can view RPKI validity status, ROA strength, and route overlap detection for all BYOIP prefixes across accounts and regions from a single dashboard. Administrators can identify prefixes with invalid or missing ROAs, detect route overlaps that may indicate hijacking, and distinguish between strict and permissive ROA configurations. With Delegated RPKI, administrators perform a one-time setup with their Regional Internet Registry (ARIN, RIPE, APNIC, or LACNIC), after which IPAM automatically creates ROAs during BYOIP provisioning, renews them before expiration, and manages ROAs for on-premises prefixes. Before this feature, customers had to manually create and renew ROAs at their Regional Internet Registry (RIR), validate ownership through WHOIS or DNS records, and rely on third-party tools to monitor route security.
 
The feature is available within Amazon VPC IPAM in all commercial AWS Regions, excluding the AWS GovCloud (US) Regions, and China (Beijing, operated by Sinnet) and China (Ningxia, operated by NWCD). To get started, please see the BGP route protection documentation. To learn more about IPAM, view the  IPAM documentation . For details on pricing, refer to the IPAM tab on the  Amazon VPC Pricing Page .
Quelle: aws.amazon.com

Amazon EC2 R8i and R8i-Flex instances are now available in Europe (Milan) region

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) R8i and R8i-flex instances are available in the Europe (Milan) region. These instances are powered by custom Intel Xeon 6 processors, available only on AWS, delivering the highest performance and fastest memory bandwidth among comparable Intel processors in the cloud. The R8i and R8i-flex instances offer up to 15% better price-performance, and 2.5x more memory bandwidth compared to previous generation Intel-based instances. They deliver 20% higher performance than R7i instances, with even higher gains for specific workloads. They are up to 30% faster for PostgreSQL databases, up to 60% faster for NGINX web applications, and up to 40% faster for AI deep learning recommendation models compared to R7i.
R8i-flex, our first memory-optimized Flex instances, are the easiest way to get price performance benefits for a majority of memory-intensive workloads. They offer the most common sizes, from large to 16xlarge, and are a great first choice for applications that don’t fully utilize all compute resources.
R8i instances are a great choice for all memory-intensive workloads, especially for workloads that need the largest instance sizes or continuous high CPU usage. R8i instances offer 13 sizes including 2 bare metal sizes and the new 96xlarge size for the largest applications. R8i instances are SAP-certified and deliver 142,100 aSAPS, the highest among all comparable machines in on-premises and cloud environments, delivering exceptional performance for mission-critical SAP workloads.
To get started, sign in to the AWS Management Console. Customers can purchase these instances via Savings Plans, On-Demand instances, and Spot instances. For more information about the new R8i and R8i-flex instances visit the AWS News blog. 
Quelle: aws.amazon.com

Amazon GameLift Servers now supports 21 new EC2 instance types

Amazon GameLift Servers now supports 21 additional Amazon EC2 instance types for managed EC2 fleets and managed container fleets. Amazon GameLift Servers is a fully managed service that enables game developers and studios to deploy, operate, and scale dedicated game servers in the cloud. This expansion gives customer access to the latest compute-optimized and general-purpose instance families.
The newly supported instance types span six families across two series: compute-optimized C-series (C8a, C8i, C9g) and general-purpose M-series (M8a, M8i, M9g). Customers can now choose between x86 and Arm architectures, selecting from 5th-generation AMD EPYC, custom Intel Xeon 6, or AWS Graviton5 processors to optimize game server workloads for performance, cost, and engine compatibility. Use cases include running CPU-intensive multiplayer game server logic on C-series instances and scaling general-purpose fleets cost-effectively using Graviton5-powered M9g instances.
These instance types are available in Amazon GameLift Servers supported regions, except AWS China. For more information on launching fleets with these EC2 instances, visit the Amazon GameLift Servers documentation.
Quelle: aws.amazon.com

Amazon Bedrock AgentCore adds memory, policy, and harness in AWS GovCloud (US-West)

Today, Amazon Bedrock AgentCore introduces new capabilities in AWS GovCloud (US-West). AgentCore is the platform to build, connect, and optimize agents. With these capabilities, teams operating in regulated environments can build context-aware agents and take them from prototype to production faster, with the controls needed to scale across their organization. 
AgentCore memory gives agents short-term memory for immediate conversation context and long-term memory that extracts persistent insights and preferences across sessions. Agents deliver more intelligent, personalized experiences without teams needing to manage complex memory infrastructure.
Policy in AgentCore provides centralized, fine-grained controls for agent-tool interactions that operate outside agent code. Teams author policies in natural language that automatically convert to Cedar, the AWS open-source policy language. Policies attach them to an AgentCore gateway that evaluates each request before allowing or denying tool access. 
The managed harness lets developers declare an agent’s model, tools, and instructions through configuration and run it in just a few API calls without writing orchestration code, while AgentCore handles the environment, compute, memory, identity, and observability.    To learn more about AgentCore capabilities, visit the AgentCore product page. For a deeper walkthrough of AgentCore concepts and best practices, see the AgentCore Documentation to get started.
Quelle: aws.amazon.com

AWS IAM Identity Center supports one-click multi-Region option for new organization instances

AWS IAM Identity Center now makes it easier to enable multi-Region support when creating a new organization instance. Previously, enabling multi-Region support required multiple steps including creating a customer managed KMS key, configuring key policies, and manually adding Regions. Now, customers creating a new IAM Identity Center instance in supported Regions can enable multi-Region in one click.
When enabling a new organization instance, you can choose from three instance configuration options: single-Region instance, multi-Region instance, or custom instance. The multi-Region instance option automatically creates a customer managed multi-Region KMS key in your account and replicates your instance to an additional Region. This enables resilient AWS account and application access — your workforce can continue to access their AWS accounts even if IAM Identity Center experiences a disruption in the primary Region. The custom instance option lets you configure your Region settings individually, including the ability to use an existing customer managed KMS key from your account.
Instance configuration options are available in 17 enabled-by-default commercial AWS Regions for organization instances of IAM Identity Center. Standard AWS KMS charges apply for the customer managed key created with the multi-Region instance option. IAM Identity Center is provided at no additional cost.
To get started, see the IAM Identity Center User Guide. To learn more about multi-Region support, see Using IAM Identity Center across multiple AWS Regions. To learn more about IAM Identity Center, visit the product detail page.
Quelle: aws.amazon.com