Kategorie: Amazon AWS

MiniMax-M2 is now available on Amazon SageMaker JumpStart

MiniMax-M2 is now available on Amazon SageMaker JumpStart, providing customers with immediate access to deploy this efficient open-source model in minutes. With SageMaker JumpStart, you can quickly discover, evaluate, and deploy MiniMax-M2 using either SageMaker Studio’s intuitive interface or the SageMaker Python SDK for programmatic deployment.
MiniMax-M2 redefines efficiency for agents. It’s a compact, fast, and cost-effective MoE model (230 billion total parameters with 10 billion active parameters) built for elite performance in coding and agentic tasks, all while maintaining powerful general intelligence.
To learn more about deploying foundation models with SageMaker JumpStart, deployment options with the SDK, and best practices for implementation, refer to our documentation.
MiniMax-M2 is available in US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Tokyo), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Mumbai), Asia Pacific (Sydney), Asia Pacific (Jakarta), Canada (Central), Europe (Frankfurt), Europe (Stockholm), Europe (Ireland), Europe (London), Europe (Paris), South America (São Paulo).
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Amazon MSK expands Standard Brokers and Express Brokers to Asia Pacific (New Zealand) Region

Amazon Managed Streaming for Apache Kafka (Amazon MSK) is now available in Asia Pacific (New Zealand) region. Customers can create Amazon MSK Provisioned clusters in this region starting today. Amazon MSK is a fully managed service for Apache Kafka and Kafka Connect that makes it easier for you to build and run applications that use Apache Kafka as a data store. Amazon MSK is fully compatible with Apache Kafka, which enables you to more quickly migrate your existing Apache Kafka workloads to Amazon MSK with confidence or build new ones from scratch. With Amazon MSK, you spend more time building innovative streaming applications and less time managing Kafka clusters. Amazon MSK offers two types of Apache Kafka provisioned broker – Standard brokers and Express brokers. Standard brokers offer the most flexibility to configure your cluster’s performance. You can configure availability, durability, throughput, and latency. You also control the storage configurations on your cluster and are responsible for managing storage provisioning and utilization. Express brokers are a new broker type for Amazon MSK Provisioned designed to deliver up to 3x more throughput per broker, scale up to 20x faster, up to 5x more partitions per broker, and reduce recovery time by 90% as compared to Standard brokers. Express brokers come pre-configured with Kafka best practices by default, support all Kafka APIs, and provide the same low-latency performance that Amazon MSK customers expect, so they can continue using existing client applications without any changes. You can now create an MSK provisioned cluster with Standard or Express brokers in Asia Pacific (New Zealand) Region through the Amazon MSK console or the Amazon CLI. To get started, see the Amazon MSK Developer Guide.
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Oracle Database@AWS is now available in three additional AWS Regions

Oracle Database@AWS is now generally available in three additional AWS Regions – US-East-2 (Ohio), EU-Central-1 (Frankfurt), and AP-Northeast-1 (Tokyo). Oracle Database@AWS enables customers to access database services on Oracle Cloud Infrastructure (OCI) managed Oracle Exadata systems within AWS data centers. With this launch, customers in the EU and Japan with in-region data residency requirements can easily migrate on-premises Oracle Exadata applications to AWS. With this expansion, AWS customers can run OCI Exadata Database Service, OCI Autonomous Database on Dedicated Infrastructure, and OCI Autonomous Recovery Service in five Regions – US-East-1 (N.Virginia), US-West-2 (Oregon), US-East-2 (Ohio), EU-Central-1 (Frankfurt), and AP-Northeast-1 (Tokyo). To use these services, request a private offer from Oracle through the AWS Marketplace, and use AWS Management Console to setup database resources. To learn more, visit Oracle Database@AWS overview and documentation.
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AWS Transform enables network conversion for hybrid data center migrations

AWS Transform now supports automatic network conversion from hybrid data centers, eliminating manual network mapping for environments running both VMware and non-VMware workloads. The service now analyzes VLANs and IP ranges across all exported source networks and maps these to AWS constructs like Virtual Private Clouds (VPCs), subnets, and security groups. AWS Transform for VMware is an agentic AI-powered service that automates the discovery, planning, and migration of VMware workloads, accelerating infrastructure modernization with increased confidence. The service extends support to hybrid data centers by analyzing exported data from application mapping tools such as modelizeIT to automatically generate Infrastructure as Code and provision AWS networking resources. This feature is available in all AWS Transform target Regions. To learn more, visit the AWS Transform product page, read the user guide, or get started in the AWS Transform web experience.
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Amazon RDS for MySQL announces Innovation Release 9.5 in Amazon RDS Database Preview Environment

Amazon RDS for MySQL now supports community MySQL Innovation Release 9.5 in the Amazon RDS Database Preview Environment, allowing you to evaluate the latest Innovation Release on Amazon RDS for MySQL. You can deploy MySQL 9.5 in the Amazon RDS Database Preview Environment which provides the benefits of a fully managed database, making it simpler to set up, operate, and monitor databases. MySQL 9.5 is the latest Innovation Release from the MySQL community. MySQL Innovation releases include bug fixes, security patches, as well as new features. MySQL Innovation releases are supported by the community until the next innovation minor, whereas MySQL Long Term Support (LTS) Releases, such as MySQL 8.0 and MySQL 8.4, are supported by the community for up to eight years. Please refer to the MySQL 9.5 release notes and Amazon RDS MySQL release notes for more details. Amazon RDS Database Preview Environment supports both Single-AZ and Multi-AZ deployments on the latest generation of instance classes. Amazon RDS Database Preview Environment database instances are retained for a maximum of 60 days and are automatically deleted after the retention period. Amazon RDS database snapshots created in the Preview Environment can only be used to create or restore database instances within the Preview Environment. Amazon RDS Database Preview Environment database instances are priced the same as production RDS instances created in the US East (Ohio) Region. For further information, see Working with the Database Preview Environment. To get started with the Preview Environment from the RDS console, navigate here.
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AWS Secrets Manager announces improved secret sorting capabilities

Today, AWS Secrets Manager announces enhanced secret sorting capabilities in the Secrets Manager console and for ListSecrets API. You can now sort secrets by name, last changed date, last accessed date, and creation date—expanding beyond the previous creation date-only option. Secrets Manager is a fully managed service that helps you manage, retrieve, and rotate database credentials, application credentials, API keys, and other secrets throughout their lifecycles. This enhancement improves secret discovery by providing flexible sorting options across multiple dimensions through both Secrets Manager console and APIs. The new sorting capabilities are available in Secrets Manager console and ListSecrets API in all AWS commercial and AWS GovCloud (US) Regions. For a list of regions where Secrets Manager is available, see the AWS Region table.
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Amazon WorkSpaces Secure Browser now supports WebAuthn redirection for local Chromium browsers

Amazon WorkSpaces Secure Browser now supports Web Authentication (WebAuthn) redirection, allowing users to authenticate to websites using their local FIDO2 security keys, biometric authenticators, and platform authenticators while browsing in their WorkSpaces Secure Browser session. This feature is compatible with Chromium-based browser on users’ local devices, such as Google Chrome 136 (or later) or Microsoft Edge 137 (or later). It is not supported on non-Chromium-based browsers such as Safari or Firefox. WebAuthn redirection helps users enjoy seamless and secure authentication on websites within their WorkSpaces Secure Browser sessions. This feature supports FIDO2 security keys, passkeys, and platform authenticators like Windows Hello or Touch ID. To enable the feature, administrators must activate WebAuthn redirection in Secure browser’s portal settings and configure the local browsers using the WebAuthenticationRemoteDesktopAllowedOrigins policy. This configuration allows WebAuthn tokens to be securely transmitted from a user’s local device to websites within a Secure Browser session, ensuring that users can authenticate securely without compromising the security benefits of the remote browsing environment. This feature is available at no additional cost in all regions where Amazon WorkSpaces Secure Browser is available, including US East (N. Virginia), US West (Oregon), Canada (Central), Europe (Frankfurt, London, Ireland), and Asia Pacific (Tokyo, Mumbai, Sydney, Singapore) To get started and enable WebAuthn redirection, visit the Amazon WorkSpaces Secure Browser console. For more information, see the WebAuthn redirection section in the Amazon WorkSpaces Secure Browser’s documentation.
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NVIDIA Nemotron 3 Nano now available on Amazon Bedrock

Amazon Bedrock now supports NVIDIA Nemotron 3 Nano 30B A3B model, NVIDIA’s latest breakthrough in efficient language modeling that delivers high reasoning performance, native tool calling support, and extended context processing with 256k token context window. This model employs an efficient hybrid Mixture-of-Experts (MoE) architecture to ensure higher throughput than its predecessors for agentic and coding workloads, while maintaining the reasoning depth of a larger model. With explicit reasoning controls and higher accuracy enabled by advanced reinforcement learning techniques and multi-environment post-training at scale, this model is ideal for enterprises, startups, and individual developers building multi-agent workflows, developer productivity tools, processes automation, and for scientific and mathematical reasoning analysis, amongst others. NVIDIA Nemotron 3 Nano on Amazon Bedrock is powered by Project Mantle, a new distributed inference engine for large-scale machine learning model serving on Amazon Bedrock. Project Mantle simplifies and expedites onboarding of new models onto Amazon Bedrock, provides highly performant and reliable serverless inference with sophisticated quality of service controls, unlocks higher default customer quotas with automated capacity management and unified pools, and provides out-of-the-box compatibility with OpenAI API specifications.
NVIDIA Nemotron 3 Nano is available today on Amazon Bedrock in US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Tokyo), Asia Pacific (Mumbai), South America (Sao Paulo), Europe (London), and Europe (Milan) AWS Regions, and supports both unified and OpenAI API-compatible service endpoints on Amazon Bedrock. To learn more and get started, visit Amazon Bedrock console or the service documentation here. To get started with Amazon Bedrock OpenAI API-compatible service endpoints, visit documentation here.
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Amazon GameLift Streams launches Gen6-based stream classes and enhanced autoscaling for better performance and pricing

Today, Amazon GameLift Streams launched two new capabilities to optimize performance and cost: Gen6 stream classes and enhanced autoscaling with warm buffer. The new Gen6 stream classes provide a wider range of price performance options, while autoscaling enables customers to dynamically manage capacity scaling.  The seven new Gen6 stream classes available today are based on EC2 G6 instances powered by NVIDIA L4 Tensor Core GPUs, which provide up to 2x higher performance over Gen4 stream classes. The pro and ultra stream class deliver improved performance for graphics-intensive AAA games, while the medium and small stream class offer cost-efficient options for casual games. The gen6n_small stream class is available at $0.16/hour in us-east-2.  The enhanced autoscaling capabilities provide automatic capacity management that scales provisioned capacity dynamically with demand, helping customers optimize utilization and stream start time for new players. Developers can use the new capacity controls (minimum, maximum, and target-idle capacity) to precisely manage their scaling needs.  New Gen6 stream classes are available in five AWS Regions: US West (Oregon), US East (Ohio), US East (N. Virginia), Europe (Frankfurt), and Asia Pacific (Tokyo). Improved autoscaling is available in all AWS Regions where Amazon GameLift Streams is offered. To learn more and get started, visit: AWS Docs: Gen6n based stream classes; Enhanced Autoscaling – Capacity configuration options; API Reference Guide: Create Stream group with gen6n based stream class; Capacity configuration option for stream groups
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Amazon ECS Service Connect enhances observability with Envoy Access Logs

Amazon Elastic Container Service (Amazon ECS) Service Connect now supports Envoy access logs, providing deeper observability into request-level traffic patterns and service interactions. This new capability captures detailed per-request telemetry for end-to-end tracing, debugging, and compliance monitoring. Amazon ECS Service Connect makes it simple to build secure, resilient service-to-service communication across clusters, VPCs, and AWS accounts. It integrates service discovery and service mesh capabilities by automatically injecting AWS-managed Envoy proxies as sidecars that handle traffic routing, load balancing, and inter-service connectivity. Envoy Access logs capture detailed traffic metadata enabling request-level visibility into service communication patterns. This enables you to perform network diagnostics, troubleshoot issues efficiently, and maintain audit trails for compliance requirements. You can now configure access logs within ECS Service Connect by updating the ServiceConnectConfiguration to enable access logging. Query strings are redacted by default to protect sensitive data. Envoy access logs will output to the standard output (STDOUT) stream alongside application logs and flow through the existing ECS log pipeline without requiring additional infrastructure. This configuration supports all existing application protocols (HTTP, HTTP2, GRPC and TCP). This feature is available in AWS GovCloud (US-West) and AWS GovCloud (US-East) regions where Amazon ECS Service Connect is supported. To learn more, visit the Amazon ECS Developer Guide.
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