Cloud Computing Köln

SageMaker AI now supports serverless fine-tuning for NVIDIA Nemotron models

Amazon SageMaker AI now supports serverless model customization for NVIDIA Nemotron 3 Nano model using supervised fine-tuning (SFT) and reinforcement fine-tuning (RFT). This is a popular open-weight model from NVIDIA with 30B total parameters. In addition to deploying this model on SageMaker AI, you can now adapt it to your specific domains and workflows.
Model customization enables you to tailor foundation models with your proprietary data, whether that’s improving accuracy on domain-specific tasks, aligning outputs with your organization’s tone, or enhancing performance on new tasks using your labeled data. With serverless customization, SageMaker AI handles all infrastructure provisioning and training orchestration, so you can focus on your data and evaluation rather than cluster management, and only pay for what you use. Serverless model customization for NVIDIA Nemotron 3 Nano on SageMaker AI is available in US East (N. Virginia), US West (Oregon), Asia Pacific (Tokyo), and Europe (Ireland). To get started, navigate to the Models page in Amazon SageMaker Studio to launch a customization job, or use the SageMaker Python SDK for programmatic access. To learn more, see the Amazon SageMaker AI model customization documentation.
Quelle: aws.amazon.com

Amazon Lightsail is now available in three additional AWS Regions

Starting today, Amazon Lightsail is available in three additional AWS Regions: Asia Pacific (Hong Kong), South America (São Paulo), and Europe (Spain). This expansion brings the power and simplicity of Lightsail to customers across new geographies in Asia, South America, and Europe. With this launch, customers in these geographical regions can now enjoy lower latency and better performance for their applications while meeting local data residency requirements. The new Regions provide access to Lightsail’s full range of features including instances that meet your compute needs, from general purpose to compute-optimized and memory-optimized bundles, as well as managed databases, container services, load balancers, and more, all with the same simple, predictable pricing that Lightsail customers love. Startups, small businesses, and developers in these regions can now run their applications closer to their end users with low latency. Lightsail is available in these AWS Regions: US East (Ohio, N. Virginia), US West (Oregon), Canada (Central), Europe (Frankfurt, Ireland, London, Paris, Spain, Stockholm), Asia Pacific (Hong Kong, Jakarta, Malaysia, Mumbai, Seoul, Singapore, Sydney, Tokyo), South America (São Paulo). To learn more about Regions and Availability Zones for Lightsail, please refer to the documentation. You can create Lightsail resources in these AWS Regions through the Lightsail Console, AWS Command Line Interface (CLI), and AWS SDKs.
Quelle: aws.amazon.com

Amazon EKS now supports local clusters on AWS Outposts with Amazon EC2 instance store

Today, AWS is expanding support for Amazon Elastic Kubernetes Service (EKS) local clusters on AWS Outposts to first-generation and second-generation AWS Outposts racks running Amazon EC2 instances that boot from Amazon EC2 instance store. AWS Outposts offers static stability for Amazon EC2 instances backed by EC2 instance store, and AWS is now extending that benefit to Amazon EKS local clusters customers. With local clusters, the entire Kubernetes control plane runs on AWS Outposts, supporting advanced data residency requirements and mitigating the risk of impact from temporary network disconnects to the cloud. Amazon EKS local clusters on AWS Outposts backed by Amazon EC2 instance store use an updated architecture that brings greater operational and feature-level parity with Amazon EKS clusters in the cloud. The Kubernetes control plane on your Outpost is managed by Amazon EKS in a service-owned account, so you don’t need to manage etcd backups or logging agents on control plane instances. New Kubernetes versions and Amazon EKS platform versions are made available for local clusters as they’re released for Amazon EKS in the cloud. Local clusters deployed with the updated architecture support Amazon EKS add-ons, IAM Roles for Service Accounts, EKS Pod Identity, OIDC authentication, access entries, and Bottlerocket worker nodes (in addition to Amazon Linux 2023). The updated architecture and new capabilities are generally available on AWS Outposts racks backed by Amazon EC2 instance store in all commercial AWS Regions that support AWS Outposts racks. AWS Outposts that boot Amazon EC2 instances from Amazon EBS will continue to use the original local clusters architecture. For more information, see local clusters in the Amazon EKS user guide.
Quelle: aws.amazon.com

Amazon Quick now integrates with Snowflake Cortex AI

Amazon Quick now integrates with Snowflake Cortex AI through the Model Context Protocol (MCP), enabling teams to query their Snowflake data and documents using natural language, and automate multi-step workflows directly within their Quick workspace. After setting up the connection using Snowflake’s managed MCP server with OAuth authentication, you can ask questions across structured data through Cortex Analyst and retrieve insights from unstructured documents through Cortex Search.
With this integration, you can build Flows in Quick that orchestrate Snowflake Cortex Agents to execute repeatable, governed workflows with consistent structured output. This is ideal for any multi-step process that spans structured data and unstructured documents. The same MCP connection is also accessible from Quick Chat and other Quick features. For example, users can ask ad-hoc follow-up questions or explore their Snowflake data conversationally alongside their automated flows. Quick intelligently routes relevant prompts to Snowflake Cortex AI and returns contextualized answers alongside enterprise knowledge stored in Quick Spaces, giving teams both the rigor of a structured process and the flexibility of a conversational interface.
The Snowflake Cortex AI integration with Amazon Quick is available in all AWS Regions where Amazon Quick is available.
Visit the Amazon Quick website to learn more and start your Quick free trial. To learn more about the Snowflake Cortex AI integration, read the blog. To learn more about Quick integrations, visit the integrations page.
Quelle: aws.amazon.com

Amazon EC2 High Memory U7i-8TB instances now available in AWS Europe (Paris) region

Amazon EC2 High Memory U7i-8TB instances (u7i-8tb.112xlarge) are now available in AWS Europe (Paris) region. U7i instances are part of the AWS 7th generation and are powered by custom fourth-generation Intel Xeon Scalable processors (Sapphire Rapids). U7i-8TB instances offer 8 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.
U7i-8TB instances deliver 448 vCPUs and support up to 100 Gbps of Amazon EBS bandwidth for faster data loading and backups, 100 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.
Quelle: aws.amazon.com