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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

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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

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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

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Amazon EC2 Capacity Blocks for ML is now available in AWS GovCloud (US) Regions

Amazon EC2 Capacity Blocks for ML is now available in AWS GovCloud (US-West) and AWS GovCloud (US-East), enabling government and regulated-industry customers to reserve GPU capacity for machine learning workloads.
EC2 Capacity Blocks for ML allows you to reserve GPU instances in advance for a defined duration, giving you assured access to accelerated compute for short-duration pre-training, fine-tuning, rapid prototyping, and inference demand surges. Capacity Blocks deliver low-latency, high-throughput connectivity through colocation in Amazon EC2 UltraClusters.
You can reserve capacity up to eight weeks in advance for durations up to 6 months, in cluster sizes of one to 64 instances. Capacity Blocks can also be shared across multiple accounts using AWS Resource Access Manager (RAM), helping organizations coordinate ML infrastructure investments and keep reserved capacity in continuous use across workloads.
In AWS GovCloud (US), EC2 Capacity Blocks for ML is available on P6-B200 instances in AWS GovCloud (US-West), and P6-B200 and P6-B300 instances in AWS GovCloud (US-East). To get started, visit the EC2 Capacity Blocks documentation.
Quelle: aws.amazon.com

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Amazon EC2 I7i instances now available in AWS Europe (Paris) Region

AWS is announcing the availability of high performance Storage optimized Amazon EC2 I7i instances in AWS Europe (Paris) region. Powered by 5th Gen Intel Xeon Processors with an all-core turbo frequency of 3.2 GHz, these new instances deliver up to 23% better compute performance and more than 10% better price performance over previous generation I4i instances. Powered by 3rd generation AWS Nitro SSDs, I7i instances offer up to 45TB of NVMe storage with up to 50% better real-time storage performance, up to 50% lower storage I/O latency, and up to 60% lower storage I/O latency variability compared to I4i instances. I7i instances offer compute and storage performance for x86-based storage optimized instances in Amazon EC2 ideal for I/O intensive and latency-sensitive workloads that demand very high random IOPS performance with real-time latency to access the small to medium size datasets. Additionally, torn write prevention feature support up to 16KB block sizes, enabling customers to eliminate database performance bottlenecks. I7i instances are available in eleven sizes – nine virtual sizes up to 48xlarge and two bare metal sizes – delivering up to 100Gbps of network bandwidth and 60Gbps of Amazon Elastic Block Store (EBS) bandwidth. To learn more, visit the I7i instances page.
Quelle: aws.amazon.com