Semiconductor sales will grow 26% this year to $975 billion, says a report from Deloitte’s.  AI chips will be responsible for half the revenues while making up 0.2% of the …

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Nvidia has hooked up with Booz Allen, BT, Cisco, Deutsche Telekom, Ericsson, MITRE, Nokia, OCUDU Ecosystem Foundation, ODC, SK Telecom, SoftBank and T-Mobile — to build 6G networks on AI-native, …

The post MWC: Telecom companies and Nvidia pursue AI-RAN in 6G appeared first on Electronics Weekly .

Ericsson and Intel are collaborating for the transition to AI-native 6G deployments and use cases. The collaboration will span mobile connectivity, cloud technologies, and compute capabilities across AI-driven RAN and …

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OpenAI has raised $110bn from Amazon, Nvidia and Softbank. Amazon put in $50bn and Nvidia and SoftBank put up $30bn each. The funding round values OpenAI at $730bn. “These partnerships …

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Electron projection lithography (EPL) is moving out of the R&D lab and into manufacturing evaluation sites, according to chip consortiums International Sematechr and Selete. That’s the word from the 2003 …

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SatVu, the London-based thermal infrared satellite specialist, has raised £30m ($40m) in its latest funding round, lead by the NATO Innovation Fund. This brings its total equity funding to £60m …

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Amazon Bedrock now supports OpenAI-compatible Projects API in the Mantle inference engine in Amazon Bedrock. Amazon Bedrock is a fully managed service that offers a broad selection of best-in-class foundation models from leading AI companies like Anthropic, Meta, and OpenAI, along with a broad set of specialized developer tools that make it easy to build and scale compelling generative AI applications. Mantle is Amazon Bedrock’s distributed inference engine for large-scale model serving that supports OpenAI-compatible APIs.

With Projects API, customers who have more than one application, environment, or team can now create individual projects to achieve better isolation across all of them. You can assign different IAM-based access control to each project and add tags to each project for better cost visibility.

Projects are available for all customers using the OpenAI-compatible APIs , the Responses API and Chat Completions API, through the Mantle inference engine in Amazon Bedrock. There is no additional charge for using the Projects API. You pay only for the underlying model inference you consume. To get started with the Projects API in Amazon Bedrock, visit the Amazon Bedrock documentation . 

Amazon Relational Database Service (RDS) for PostgreSQL now supports the latest minor versions 18.3, 17.9, 16.13, 15.17, and 14.22. These versions address the regression from the February 12, 2026 PostgreSQL community release. We recommend that you upgrade to the latest minor versions to fix known security vulnerabilities in prior versions of PostgreSQL, and to benefit from the bug fixes added by the PostgreSQL community.

You can upgrade your databases during scheduled maintenance windows using automatic minor version upgrades. To simplify operations at scale, enable automatic minor version upgrades and use the AWS Organizations Upgrade Rollout Policy to orchestrate thousands of upgrades in phases, first to development environments before upgrading production systems. You can also use Amazon RDS Blue/Green deployments with physical replication to minimize downtime for minor version upgrades.

Amazon RDS for PostgreSQL makes it simple to set up, operate, and scale PostgreSQL deployments in the cloud. See Amazon RDS for PostgreSQL Pricing for pricing details and regional availability. Create or update a fully managed Amazon RDS database in the Amazon RDS Management Console or by using the AWS Command Line Interface (CLI).

Oracle Database@AWS is now available in EU-West-1 (Dublin), starting with one Availability Zone (AZ). Oracle Database@AWS enables customers to access database services on Oracle Cloud Infrastructure (OCI) managed Oracle Exadata systems within AWS data centers. As a result, customers can easily migrate their on-premises Oracle Exadata and Oracle Real Application Clusters (RAC) applications to a like-for-like environment on AWS, and also benefit from integrations with AWS services such as AWS Key Management Service (KMS) for data encryption and AWS CloudWatch for monitoring. With expansion to the Dublin region, customers with data residency requirements in that region can migrate their on-premises Oracle Exadata and RAC applications to AWS.

With this expansion, Oracle Database@AWS services are now available in eight Regions: US-East-1 (N. Virginia), US-West-2 (Oregon), US-East-2 (Ohio), CA-Central-1 (Canada Central), EU-Central-1 (Frankfurt), EU-West-1 (Dublin), AP-Northeast-1 (Tokyo), and AP-Southeast-2 (Sydney). To use Oracle Database@AWS services, request a private offer from Oracle through the AWS Marketplace , and use AWS Management Console to setup and use your databases.

To learn more, visit Oracle Database@AWS overview and documentation .

Amazon OpenSearch Service has enhanced Cluster Insights with two new insights — Cluster Overload and Suboptimal Sharding Strategy. Suboptimal Sharding Strategy provides instant visibility into shard imbalances that cause uneven workload distribution, while Cluster Overload surfaces elevated cluster resource utilization that can lead to request throttling or rejections. Both insights come with details of affected resources along with actionable mitigation recommendations.

Previously, identifying resource constraints and shard imbalances required manually correlating multiple metrics and logs, making it difficult to detect issues early. With these new insights, you can proactively monitor cluster health and take timely action.

Suboptimal Sharding Strategy detects shard imbalances caused by indices with too few shards relative to the number of data nodes, or by shards carrying disproportionately large amounts of data compared to others. It identifies the root cause of uneven workload distribution and provides recommendations to help you achieve optimal shard distribution for improved query performance and resource utilization. Similarly, Cluster Overload helps you identify elevated resource utilization, including CPU, memory, disk I/O, disk throughput, and disk utilization that can potentially lead to request throttling or rejections. It also provides scale-up recommendations so you can take timely action to protect your critical workloads.

These new insights are available at no additional cost for OpenSearch version 2.17 or later in all Regions where the OpenSearch UI is available. See the complete list of supported Regions here . To learn more, visit the Cluster Insights documentation or view the complete catalog of available insights .