ST had Q1 revenues at $3.10bn at a gross margin of 33.8% for an operating income of $70m. For Q2 it expects revenues of $3.45bn at a gross margin of …

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Marvell has bought Polariton Technologies, a developer of high-speed, low-power plasmonics-based silicon photonics devices. The acquisition strengthens Marvell’s optical technology portfolio by adding advanced modulation capabilities that enable continued scaling …

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The Octolux RDS (Rapid Development System) was unveiled at Microelectronics US by NTX Embedded. The hardware design platform uses AI-powered HMI/control systems to reduce design time. It can enable customers …

The post AI accelerates simulation and data collection in development system appeared first on Electronics Weekly .

On a visit to Austin, Texas, Caroline Hayes visited Silicon Labs and spoke to Ross Sabolcik, lead of the company’s industrial and commercial IoT business unit about meeting evolving customer …

The post What’s next for Silicon Labs, the IoT and AI appeared first on Electronics Weekly .

AWS today announced a new delivery option for AWS Data Exports, enabling FinOps teams to send Standard exports—including Cost and Usage Report 2.0 (CUR 2.0), FOCUS, Cost Optimization Recommendations, and Carbon Emissions reports—directly to any authorized AWS account’s Amazon S3 bucket. This capability eliminates the need for for customers to replicate the data across accounts or pay for duplicate storage.

With this launch, customers can now specify the destination S3 bucket in any AWS account when creating an export. The destination account owner controls which source accounts can deliver data through S3 bucket policies, so both accounts explicitly authorize where billing data flows. For example, a FinOps team can configure CUR 2.0 exports from their management account to flow directly into a centralized analytics account within their organization where their cost optimization tools reside, without building custom replication processes. This also supports the security best practice of keeping non-administrative workloads out of management accounts.

This feature is available in all commercial AWS Regions, except the AWS GovCloud (US) Regions and the China Regions.

To learn more about this feature, see AWS Data Exports and AWS Billing and Cost Management in the AWS Cost Management User Guide.

Amazon SageMaker HyperPod now supports on-demand deep health checks for Amazon EKS and Slurm-orchestrated clusters, enabling you to proactively verify GPU accelerator health on running instances at any time. HyperPod Slurm-orchestrated clusters now also support deep health checks during node provisioning, at the time of cluster creation. This capability addresses a critical challenge where even a single unhealthy node can waste hours of compute time and delay critical workloads.

With on-demand deep health checks, you can target entire instance groups or specific instances to run comprehensive hardware stress tests and connectivity tests before committing compute resources to a job. Progress and results are visible at both the instance group and instance level through the SageMaker console and APIs, providing complete visibility into GPU health, network connectivity, and multi-node communication performance. Instances undergoing checks are automatically isolated from workload scheduling and returned to service upon passing. When paired with HyperPod’s automatic node recovery capability, instances that fail are automatically rebooted or replaced, ensuring cluster health.

This capability is available in all regions where Amazon SageMaker HyperPod is available. To learn more about on-demand health checks, see the documentation .

You can now connect your Apache Kafka applications to Amazon MSK Serverless  in the Asia Pacific (Hong Kong), Asia Pacific (Hyderabad), Asia Pacific (Jakarta), Asia Pacific (Malaysia), Asia Pacific (Melbourne), Asia Pacific (New Zealand), Asia Pacific (Osaka), Asia Pacific (Thailand),  Europe (Milan), Europe (Spain),  Europe (Zurich), Israel (Tel Aviv), Mexico (Central) AWS Regions.

Amazon MSK is a fully managed service that makes it easier for you to build and run applications that use Apache Kafka as a data store. Amazon MSK Serverless is a cluster type for Amazon MSK that allows you to run Apache Kafka without having to manage and scale cluster capacity. MSK Serverless automatically provisions and scales compute and storage resources, so you can use Apache Kafka on demand.

To learn more about Amazon MSK Serverless, visit our Amazon MSK Developer Guide .

Amazon SageMaker AI now supports inference recommendations, a new capability that eliminates manual optimization and benchmarking to deliver optimal inference performance. By delivering validated, optimal deployment configurations with performance metrics, SageMaker AI accelerates the path to production and keeps your model developers focused on building accurate models, not managing infrastructure.

Customers bring their own generative AI models, define expected traffic patterns, and specify a performance goal (optimize for cost, minimize latency, or maximize throughput). SageMaker AI then analyzes the model’s architecture and applies optimizations aligned to that goal across multiple instance types, benchmarking each configuration on real GPU infrastructure using NVIDIA AIPerf. By evaluating multiple instance types, customers can select the most price-performant option for their workload. The result is deployment-ready configurations with validated metrics including time to first token, inter-token latency, request latency percentiles, throughput, and cost projections.

 The capability is available today in seven AWS Regions: US East (N. Virginia), US West (Oregon), US East (Ohio), Asia Pacific (Tokyo), Europe (Ireland), Asia Pacific (Singapore), and Europe (Frankfurt). To learn more, visit the SageMaker AI documentation .

Amazon OpenSearch Service now supports rollback for service software updates, giving you greater control when managing updates to your Amazon OpenSearch Service domains. Previously, once a software update was applied, there was no self-service option to revert it to a previous version if you encountered an unexpected issue.

Software update rollback uses a blue/green deployment. You can initiate a rollback within 15 days of a service software update being applied, using the new RollbackServiceSoftwareUpdate API, the AWS CLI, or the Amazon OpenSearch Service console.

Rollback option for service software updates is now available in all AWS Regions where Amazon OpenSearch Service is available. To learn more about the software updates and rollback option, refer to the Amazon OpenSearch Service documentation .

AWS Lambda durable functions are now available in 16 additional AWS Regions. Lambda durable functions enable developers to build reliable multi-step applications and AI workflows within the Lambda developer experience, and with this expansion, you can now use durable functions in 16 additional AWS Regions: Africa (Cape Town), Asia Pacific (Hyderabad), Asia Pacific (Jakarta), Asia Pacific (Melbourne), Asia Pacific (Osaka), Asia Pacific (Seoul), Asia Pacific (Taipei), Canada (Central), Canada West (Calgary), Europe (London), Europe (Paris), Europe (Zurich), Israel (Tel Aviv), Mexico (Central), South America (São Paulo), and US West (N. California).

Lambda durable functions extend the Lambda programming model with new primitives in your event handler, such as “steps” and “waits”, allowing you to checkpoint progress, automatically recover from failures, and pause execution without incurring compute charges for on-demand functions. With this region expansion, you can orchestrate complex processes such as order workflows, user onboarding, and AI-assisted tasks closer to your users and data, helping you to meet low-latency and data residency requirements.

You can activate durable functions for new Python (versions 3.13 and 3.14), Node.js (versions 22 and 24), or Java (17+) based Lambda functions using the AWS Lambda API, AWS Management Console, or AWS SDK. You can also use infrastructure as code tools such as AWS CloudFormation, AWS Serverless Application Model (AWS SAM), and the AWS Cloud Development Kit (AWS CDK).

For more information on durable functions, visit the AWS Lambda durable functions product page or the AWS Lambda Developer Guide . To learn about pricing, visit AWS Lambda pricing . For region availability, visit the AWS Capabilities by Region page .