Schlagwort: cloud computing

Amazon EC2 R7gd instances are now available in South America (Sao Paulo) Region

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) R7gd instances with up to 3.8 TB of local NVMe-based SSD block-level storage are available in South America (Sao Paulo) Region. R7gd are powered by AWS Graviton3 processors with DDR5 memory are built on the AWS Nitro System. They are ideal for memory-intensive workloads such as open-source databases, in-memory caches, and real-time big data analytics and are a great fit for applications that need access to high-speed, low latency local storage, including those that need temporary storage of data for scratch space, temporary files, and caches. To learn more, see Amazon R7gd Instances. To get started, see the AWS Management Console.
Quelle: aws.amazon.com

Amazon EC2 C8gd and M8gd instances are now available in additional AWS Regions

Amazon Elastic Compute Cloud (Amazon EC2) C8gd and M8gd instances with up to 11.4 TB of local NVMe-based SSD block-level storage are now available in additional regions. C8gd instances are now available in South America (Sao Paulo). M8gd instances are now available in Europe (Ireland). These instances are powered by AWS Graviton4 processors, delivering up to 30% better performance over Graviton3-based instances. They have up to 40% higher performance for I/O intensive database workloads, and up to 20% faster query results for I/O intensive real-time data analytics than comparable AWS Graviton3-based instances. These instances are built on the AWS Nitro System and are a great fit for applications that need access to high-speed, low latency local storage. Each instance is available in 12 different sizes. They provide up to 50 Gbps of network bandwidth and up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS). Additionally, customers can now adjust the network and Amazon EBS bandwidth on these instances by 25% using EC2 instance bandwidth weighting configuration, providing greater flexibility with the allocation of bandwidth resources to better optimize workloads. These instances offer Elastic Fabric Adapter (EFA) networking on 24xlarge, 48xlarge, metal-24xl, and metal-48xl sizes. To learn more, see Amazon C8gd Instances and Amazon M8gd Instances. To explore how to migrate your workloads to Graviton-based instances, see AWS Graviton Fast Start program and Porting Advisor for Graviton. To get started, see the AWS Management Console.
Quelle: aws.amazon.com

Amazon EC2 C8id instances are now available in Europe (Spain)

Amazon Elastic Compute Cloud (EC2) C8id instances powered by custom Intel Xeon 6 processors feature up to 384 vCPUs, 768GiB of memory, and 22.8TB of NVMe SSD storage and deliver up to 43% higher performance and 3.3x more memory bandwidth compared to previous generation C6id instances. Starting today, C8id instances are available in Europe (Spain) region. These instances deliver up to 46% higher performance for I/O intensive database workloads, and up to 30% faster query results for I/O intensive real-time data analytics than previous sixth-generation instances. Additionally, these instances support Instance Bandwidth Configuration, allowing 25% flexible allocation between network and EBS bandwidth, allocating resources optimally for each workload. C8id instances are ideal for compute-intensive workloads such as high-performance web servers, batch processing, distributed analytics, ad serving, video encoding, and gaming servers. C8id instances are available in US East (N. Virginia, Ohio), US West (Oregon), Europe (Frankfurt, Spain), and Asia Pacific (Tokyo) regions. Customers can purchase these instances via Savings Plans, On-Demand instances, and Spot instances. For more information visit the Amazon EC2 instance type page.
Quelle: aws.amazon.com

AWS Builder ID now supports Sign in with GitHub and Amazon

AWS Builder ID, your profile for accessing AWS applications including AWS Builder Center, AWS Training and Certification and Kiro, now supports two new social logins: GitHub and Amazon. This expansion of sign-in options builds on the existing Google Apple social sign-in capabilities, providing GitHub and Amazon users with a streamlined way to access AWS resources without managing separate credentials on AWS.
With Sign in with Github and Amazon integration, developers and builders can now enjoy access to their AWS Builder ID profile using their GitHub or Amazon Account credentials. This enhancement eliminates password management complexity, reduces forgotten password issues, and provides a frictionless experience for both new user registration and returning user sign-ins. Whether you’re accessing development resources in AWS Builder Center, enrolling in certification programs or using Kiro to code your next app, your GitHub and Amazon Accounts can now serve as a secure gateway to your builder AWS journey.
To learn more about AWS Builder ID and get started with Sign in with GitHub and Amazon, visit the AWS Builder ID documentation.
Quelle: aws.amazon.com

Amazon Bedrock now supports observability of First Token Latency and Quota Consumption

Amazon Bedrock is a fully managed service for building generative AI applications using high-performing foundation models from leading AI providers. It now supports two new CloudWatch metrics, TimeToFirstToken and EstimatedTPMQuotaUsage, giving you deeper visibility into inference performance and quota consumption.
TimeToFirstToken measures the latency from when a request is sent to when the first token is received, for streaming APIs (ConverseStream and InvokeModelWithResponseStream). You can use this metric to set CloudWatch alarms which monitor latency degradation and establish SLA baselines, without any client-side instrumentation. EstimatedTPMQuotaUsage tracks your estimated Tokens Per Minute (TPM) quota consumption, including cache write tokens and output burndown multipliers, across all inference APIs (Converse, InvokeModel, ConverseStream, and InvokeModelWithResponseStream). You can use this metric to set proactive alarms before reaching your quota limit, track your quota consumption across your models, and request further quota increases before usage is rate limited.
Both metrics are supported in all commercial Bedrock regions for models available via cross-region inference profiles and in-region inference, updated every minute for successfully completed requests. These are available in your CloudWatch out of the box; you pay only for the underlying model inference you consume, with no API changes or opt-in required.
To learn more about TimeToFirstToken and EstimatedTPMQuotaUsage, see our documentation page on Monitoring Amazon Bedrock.
Quelle: aws.amazon.com