Intel has put back its $100 billion Ohio chip project until 2030 or 2031. The first fab in the multi-fab project will not be completed until 2030. It had been …

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Starting today, the FPGA-powered Amazon EC2 F2 instances are now available in the Asia Pacific (Sydney) region. F2 instances are the second generation of FPGA powered instances and are the first to feature an FPGA with 16 GB of high bandwidth memory (HBM). Compared to F1 instances, the F2 instances have up to 3x vCPUs (192 vCPUS), 2x system memory (2 TB), 2x SSD space (7.6 TiB), and 4x networking bandwidth (100 Gbps). Amazon EC2 F2 instances are ideal for FPGA-accelerated solutions in genomics, multimedia processing, big data, network acceleration, and more.

With this additional region, F2 instances are now available in US East (N. Virginia), US West (Oregon), Europe (London), and Asia Pacific (Sydney). These instances can be purchased as either Savings Plans or On-Demand instances. To learn more, visit the Amazon EC2 F2 Instances page and F2 FPGA development kit GitHub page.

AWS Batch now supports job scheduling that takes into account consumable resources (CRs) such as third-party license tokens, database access bandwidth, budgetary limits, and more. With resource aware scheduling you can set up sets of tokens representing these resources, which will then be consumed by the running AWS Batch jobs. This will help you reduce job failures and wasted compute time caused by missing or rate-limited resources, which in turn will improve utilization of infrastructure and reduce costs.

You can create, manage, and monitor consumption of your CRs using AWS Batch Management Console or the new AWS Batch consumable resource APIs such as CreateConsumableResource, DescribeConsumableResource, UpdateConsumableResource, DeleteConsumableResource, and ListJobsByConsumableResource. Once you set up your consumable resources, you can associate up to 5 CRs with your AWS Batch jobs while creating or updating AWS Batch job definitions. For more information, see Consumable Resources page in the AWS Batch User Guide , AWS Batch API Reference , and our AWS HPC Blog post .

AWS Batch supports developers, scientists, and engineers in running efficient batch processing for ML model training, simulations, and analysis at any scale. Resource aware scheduling is available for all types of AWS Batch compute environments in any AWS Region where AWS Batch is available.
 

Amazon Connect has reduced prices for Vietnam in the Asia Pacific (Singapore) region. This includes price reductions of Direct Inward Dial (DID) minutes by 95% from $0.0815/min to $0.004/min, and Outbound minutes by 44% from $0.0896/min to $0.05/min.

The new Telephony Rates are now available as part of the standard pricing for Amazon Connect service usage for the Asia Pacific (Singapore) region. To see all AWS Regions where Amazon Connect is available, see the AWS Region table . Visit the Amazon Connect website for more information.
 

CloudWatch Application Signals, an application performance monitoring (APM) tool that simplifies health and performance monitoring for applications now supports the ability to monitor your applications’ services and Service Level Objectives (SLOs) across multiple source accounts from one monitoring account.

Centralized application observability across accounts in a region provides single-pane-of-glass tracking, health maintenance, and resource optimization. Customers can use Amazon CloudWatch Observability Access Manager (OAM) to create and manage links between source accounts and monitoring accounts. Using the Application Signals Console in their monitoring account, customers can now view all services and SLOs to analyze and track broad patterns across multiple accounts. They can also set SLOs in the monitoring account. The multi account monitoring feature balances centralized monitoring with access restrictions required by their teams.

Cross Account support for Application Signals is available in all regions where Application Signals is generally available. See documentation to learn more. Customers can now opt in to the new bundled pricing for Application Signals. For pricing, see Amazon CloudWatch pricing .

Amazon EC2 announces the general availability of Time-based Copy for Amazon Machine Images (AMIs). Similar to Time-based Copy for EBS snapshots , this feature enables customers to meet their compliance objectives by ensuring that AMIs are copied within and across AWS Regions within a specified duration.

Prior to today, customers could not predict or control the duration of their AMI copy operations, making it challenging for them to meet their recovery time objectives for disaster recovery and compliance purposes. Now with this capability, customers can specify a desired completion duration, ranging from 15 minutes to 48 hours, for individual AMI copy requests. Customers can also monitor their AMI Copy operations via EventBridge and the new SnapshotCopyBytesTransferred CloudWatch metric, available by default at a 1-minute frequency for no additional charge.

Time-based Copy for AMIs is available in all AWS commercial Regions and the AWS GovCloud (US) Regions, through the AWS Console, AWS Command Line Interface (CLI), and AWS SDKs. For pricing information, please visit the EBS pricing page . To learn more, see the technical documentation for Time-based Copy for AMIs .

Amazon Relational Database (RDS) for Db2 now supports M7i and R7i database instance types. M7i and R7i are the latest Intel-based offering and are available with a new maximum instance size of 48xlarge, which brings 50% more vCPU and memory than the maximum size of M6i and R6i instance types.

M7i and R7i instances are available for Amazon RDS for Db2 in Bring-Your-Own-License (BYOL) model and in hourly Db2 licensing model available through AWS Marketplace. You can launch the new database instance in the Amazon RDS Management Console or using the AWS CLI .

Amazon RDS for Db2 is a fully managed commercial database that makes it easy to set up, operate, and scale Db2 deployments in the cloud. To learn more about Amazon RDS for Db2, check Amazon RDS for Db2 User Guide and Amazon RDS for Db2 pricing for pricing details and regional availability.

Amazon CloudWatch Database Insights expands the availability of its on-demand analysis experience to the RDS for MySQL and RDS for MariaDB database engines. This feature leverages machine learning models to help identify performance bottlenecks during the selected time period, and gives advice on what to do next.

This launch allows you to analyze database performance monitoring data for a time period of your choice. You can learn how the selected time period differs from normal, what went wrong, and get advice on corrective actions. Through simple-to-understand graphs and explanations, you can identify the chief contributors to performance issues. You will also get guidance on the next steps to act on these issues. This can reduce the mean-time-to-diagnosis for database performance issues from hours to minutes.

You can get started with this feature by enabling the Advanced mode of Database Insights on your RDS for MySQL or RDS for MariaDB databases using the RDS service console, AWS APIs, the AWS SDK, or AWS CloudFormation. Please refer to RDS documentation and Aurora documentation for information regarding the availability of this feature across different RDS and Aurora engines, respectively. CloudWatch Database Insights delivers database health monitoring aggregated at the fleet level, as well as instance-level dashboards for detailed database and SQL query analysis.

CloudWatch Database Insights is available in all commercial AWS Regions and offers vCPU-based pricing – see the pricing page for details. For further information, visit the Database Insights User Guide .

The Electronics Weekly team share some fingerposts – their picks of the week, in terms of announcements, developments, product releases, quotes, or anything else in the wide world of electronics, that caught their eye…

The post What caught your eye? (Neural AI accelerators, ST nationality squabbles, European Chips Act) appeared first on Electronics Weekly .

Touched by the simplicity, poverty and generosity of the people who lived in these mountains where he enjoyed hiking, one of Silicon Valley’s greatest scientists funded a programme to build …

The post Fable: The Genius Who Funded Schools appeared first on Electronics Weekly .