Kategorie: Amazon AWS

OpenAI GPT, OpenAI GPT OSS, and NVIDIA Nemotron models on Amazon Bedrock receive FedRAMP High and DoD IL-4/5 approval in AWS GovCloud (US)

OpenAI GPT, OpenAI GPT OSS, and NVIDIA Nemotron models are now FedRAMP High and Department of Defense Cloud Computing Security Requirements Guide (DoD CC SRG) Impact Level (IL) 4 and 5 approved within Amazon Bedrock in the AWS GovCloud (US) Regions.
Federal agencies, public sector organizations, and other enterprises with FedRAMP High and DoD CC SRG IL-4/5 compliance requirements can now use these models on Amazon Bedrock to build and scale generative AI applications with confidence that they meet the security and compliance standards required for government workloads. These models are powered by Mantle, a next-generation distributed inference engine on Amazon Bedrock, which provides high-performance serverless inference with zero operator access, automated capacity management, and out-of-the-box compatibility with OpenAI API specifications.
To learn more, visit the Amazon Bedrock product page, Amazon Bedrock documentation, and the AWS GovCloud (US) compliance page. To get started, visit the Amazon Bedrock console.
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Amazon EC2 M8a instances now available in the Asia Pacific (Mumbai) region

Starting today, the general-purpose Amazon EC2 M8a instances are available in AWS Asia Pacific (Mumbai) region. M8a instances are powered by 5th Gen AMD EPYC processors (formerly code named Turin) with a maximum frequency of 4.5 GHz, deliver up to 30% higher performance, and up to 19% better price-performance compared to M7a instances. M8a instances deliver 45% more memory bandwidth compared to M7a instances, making these instances ideal for even latency sensitive workloads. M8a instances deliver even higher performance gains for specific workloads. M8a instances are up to 60% faster for GroovyJVM benchmark, and up to 39% faster for Cassandra benchmark compared to Amazon EC2 M7a instances. M8a instances are SAP-certified and offer 12 sizes including 2 bare metal sizes. This range of instance sizes allows customers to precisely match their workload requirements. M8a instances are built using the latest sixth generation AWS Nitro Cards and ideal for applications that benefit from high performance and high throughput such as financial applications, gaming, rendering, application servers, simulation modeling, mid-size data stores, application development environments, and caching fleets. 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 visit the Amazon EC2 M8a instance page.
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Amazon EC2 C7a instances are now available in the Asia Pacific (Singapore) Region

Starting today, the compute optimized Amazon EC2 C7a instances are now available in AWS Asia Pacific (Singapore) Region. C7a instances, powered by 4th Gen AMD EPYC processors (code-named Genoa) with a maximum frequency of 3.7 GHz, deliver up to 50% higher performance compared to C6a instances. C7a instances offer new processor capabilities such as AVX-512, VNNI, and bfloat16. They feature Double Data Rate 5 (DDR5) memory to enable high-speed access to data in memory and 2.25x more memory bandwidth compared to C6a instances, making these instances ideal for even latency sensitive workloads. C7a instances offer 12 sizes from medium to 48xlarge, including a bare-metal size. And with the launch of C7a instances, customers can attach up to 128 EBS volumes to an EC2 instance — by comparison, C6a instances allow up to 28 EBS volume attachments to an EC2 instance. These instances are built on the AWS Nitro System and ideal for high performance, compute-intensive workloads such as batch processing, distributed analytics, high performance computing (HPC), ad serving, highly-scalable multiplayer gaming, and video encoding. C7a instances are available through On-Demand, Spot Instances, and Savings Plans. To get started, visit the AWS Management Console, AWS Command Line Interface (CLI), and AWS SDKs. To learn more, see C7a instances.
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Amazon OpenSearch Ingestion now available in AWS Europe (Paris) Region

Starting today, customers can use Amazon OpenSearch Ingestion in the Europe (Paris) Region (eu-west-3) for ingesting data into their Amazon OpenSearch Service managed clusters or serverless collections. Amazon OpenSearch Ingestion is a fully managed data ingestion tier that allows you to ingest and process data before indexing it in Amazon OpenSearch managed clusters or serverless collections. Amazon OpenSearch Ingestion provides a no-code experience to filter, transform, redact, and route data into Amazon OpenSearch Service. Amazon OpenSearch Ingestion automatically provisions and scales the underlying resources to meet the fluctuating demands of your workloads. With this launch, Amazon OpenSearch Ingestion is now generally available in 17 AWS regions: US East (Ohio), US East (N. Virginia), US West (Oregon), US West (N. California), Europe (Ireland), Europe (London), Europe (Frankfurt), Europe (Spain), Europe (Paris), Asia Pacific (Tokyo), Asia Pacific (Sydney), Asia Pacific (Singapore), Asia Pacific (Mumbai), Asia Pacific (Seoul), Canada (Central), South America (Sao Paulo), and Europe (Stockholm). To learn more, see the Amazon OpenSearch Ingestion webpage and the Amazon OpenSearch Ingestion Developer Guide.
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Amazon Redshift adds Reserved Instance upfront pricing options for RG instances

Amazon Redshift announces the availability of All Upfront and Partial Upfront payment options for 1-year and 3-year reserved instances for RG instances. Reserved instances allow customers to benefit from significant savings over on-demand rates. The new payment options join the previously available No Upfront option, giving customers greater flexibility to optimize compute costs based on their financial preferences. All Upfront delivers the maximum discount by paying for the full reservation term at the start, while Partial Upfront splits the cost between an initial payment and lower monthly installments.
Amazon Redshift RG reserved instances with All Upfront and Partial Upfront payment options are now available in the following AWS Regions: US East (N. Virginia), US East (Ohio), US West (Oregon), US West (N. California), Canada (Central), South America (São Paulo), Europe (Ireland), Europe (Frankfurt), Europe (London), Europe (Paris), Europe (Stockholm), Europe (Milan), Europe (Spain), Africa (Cape Town), Asia Pacific (Tokyo), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Mumbai), Asia Pacific (Jakarta), Asia Pacific (Hong Kong), Asia Pacific (Osaka), Asia Pacific (Malaysia), Asia Pacific (Hyderabad), Asia Pacific (Taiwan), Asia Pacific (Melbourne), Asia Pacific (Bangkok), and Mexico (Central).
For pricing details, visit the Amazon Redshift pricing page.
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AWS IoT Device SDK for Swift is now generally available

The AWS IoT Device SDK for Swift is now generally available, enabling Swift developers to build secure, scalable IoT applications natively on Apple platforms including macOS, iOS, and tvOS, as well as Linux. This SDK addresses the previous lack of native Swift support for AWS IoT services, providing stable, production-ready APIs specifically designed for teams managing IoT device fleets and building cross-platform IoT solutions across the Apple ecosystem.
The SDK delivers comprehensive capabilities for real-time device management and secure communication. With integrated service clients for AWS IoT Device Shadow, Jobs, and Fleet Provisioning, developers can synchronize device states between applications and AWS IoT Core, manage remote operations on connected devices at scale, and automate certificate and policy creation for secure device onboarding. The SDK also provides built-in TLS 1.3 support on Apple iOS and tvOS platforms, ensuring IoT applications use the latest industry-standard security practices for protecting data in transit.
To learn more, visit the  AWS IoT Device SDK documentation  and explore  code samples on GitHub . Get started by installing the SDK via Swift Package Manager.
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Amazon EC2 announces AMI Watermarks for improved AMI governance

Amazon EC2 introduces AMI watermarks, letting you embed custom identifiers in your private AMIs. Once applied, a watermark automatically carries forward to every AMI derived from the original, whether you copy it across regions or create a new AMI from a running instance. Watermarks also remain visible when you share an AMI with other accounts. This helps you identify trusted AMIs, track provenance, and enforce governance policies across your organization. Each watermark includes metadata such as the AMI ID, owner ID, region, and creation timestamps, providing reliable provenance that persists regardless of how many times an AMI is copied or new AMIs are created from it. AMI Watermarks improve AMI tracking by enabling you to filter and find related AMIs across your accounts. For governance, you can combine watermarks with Allowed AMIs to restrict instance launches to only AMIs carrying approved watermarks and enforce the setting at scale across your organization through Declarative Policies. You can start adding AMI watermarks to your private AMIs by using the AWS Management Console, AWS CLI, or SDKs. To learn more, please visit the documentation. You can also attach watermarks through EC2 Image Builder, a service used to create and manage AMIs, as part of your AMI build pipeline. AMI watermarks are available to all customers at no additional cost in all AWS regions including AWS China (Beijing) Region, operated by Sinnet, and AWS China (Ningxia) Region, operated by NWCD, and AWS GovCloud (US) Regions. 
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Amazon EC2 High Memory U7in-24TB instances now available in AWS Asia Pacific (Seoul) region

Amazon EC2 High Memory U7in-24TB instances (u7in-24tb.224xlarge) are now available in AWS Asia Pacific (Seoul) region. U7i instances are part of the AWS 7th generation and are powered by custom fourth-generation Intel Xeon Scalable processors (Sapphire Rapids). U7in-24TB instances offer 24 TiB of DDR5 memory, enabling customers to scale transaction processing throughput in a fast-growing data environment. U7i instances offer up to 45% better price performance over existing U-1 instances.
U7in-24TB instances deliver 896 vCPUs and support up to 100 Gbps of Amazon EBS bandwidth for faster data loading and backups, 200 Gbps of network bandwidth, and ENA Express. U7i instances are ideal for customers running mission-critical in-memory databases like SAP HANA, Oracle, and SQL Server.
To learn more about U7i instances, visit the High Memory instances page.
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Amazon CloudWatch now supports tags on dashboards

Amazon CloudWatch now supports tagging for CloudWatch dashboards, enabling you to organize, categorize, and control access to your dashboards using tags. Tags are key-value pairs that help you identify and manage AWS resources across your environment. With this launch, the PutDashboard API now accepts an optional Tags parameter, allowing you to assign up to 50 tags when creating a new dashboard. The TagResource, UntagResource, and ListTagsForResource APIs now support dashboard ARNs, enabling you to add, remove, and list tags on existing dashboards. You can also manage dashboard tags using AWS CloudFormation. This new capability allows you to group dashboards by team by team, project, or environment, implement attribute-based access control by scoping IAM permissions to dashboards with specific tag values, and filter dashboards by tag in AWS Resource Explorer. CloudWatch Dashboard tagging support is available at no additional cost in all AWS Regions where Amazon CloudWatch is available. To learn more, see TagResource in the Amazon CloudWatch API Reference. To get started with CloudWatch dashboards, see Amazon CloudWatch features.
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Amazon Neptune now supports AWS CloudFormation for global databases

Amazon Neptune now supports AWS CloudFormation for provisioning and managing Neptune global databases. Using the new AWS::Neptune::GlobalCluster resource type, you can define your multi-region graph database topology as code — automating deployment, storing configurations in source control, and integrating with CI/CD pipelines.
Neptune global databases provide a primary cluster with read-write capability and up to five read-only secondary clusters in different AWS Regions, connected through low-latency replication via the Neptune storage subsystem. Common use cases include low-latency read access across regions, disaster recovery, data residency compliance, and high-availability graph deployments with centralized writes and distributed reads.
This feature is available in all AWS Regions where Neptune global databases are supported.  To get started, see the Neptune global databases CloudFormation documentation. 
 
 
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