Optimus, Elon Musk’s humanoid robot, has been delayed. Tesla told suppliers in mid-June to halt orders for at least two months while Optimus’ design is adjusted to cope with problems …

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Renesas has introduced a 64MHz Arm Cortex-M23 MCU for motor control. Called RA2T1, the “devices are specifically designed for single-motor applications such as fans, power tools, vacuum cleaners, refrigerators, printers …

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Mitsubishi has announced a series of industrial controllers with cyber security. “MX Controller has received TÜV Rheinland certification according to IEC 62443-4-1 and IEC 62443-4-2 standards. This certification verifies protection …

The post Industrial controllers with cybersecurity and CC-Link IE TSN appeared first on Electronics Weekly .

How does the (US) Chips Act affect innovation? This question was posed at DAC and the expert panel agreed that there is no lack of engineering talent but how to …

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Vishay Intertechnology has announced the third generation of its 650 and 1,200V SiC (silicon carbide) Schottky diodes, in a 2.6 x 5.2mm surface-mount package. The DO-221AC package, branded ‘SlimSMA HV’, …

The post 1,200V 2A SiC Schottky diodes in 2.6 x 5.2mm packaging appeared first on Electronics Weekly .

Today, AWS launches AWS Parallel Computing Service (PCS) in the AWS Europe (London) region, enabling you to easily build and manage High Performance Computing (HPC) clusters using the Slurm workload manager.

AWS PCS is a managed service that makes it easier for you to run and scale your high performance computing (HPC) workloads and build scientific and engineering models on AWS using Slurm. You can use AWS PCS to build complete, elastic environments that integrate compute, storage, networking, and visualization tools. AWS PCS simplifies cluster operations with managed updates and built-in observability features, helping to remove the burden of maintenance. You can work in a familiar environment, focusing on your research and innovation instead of worrying about infrastructure.

To get started, visit the AWS PCS page and the AWS PCS documentation .

Today, AWS announces two new Model Context Protocol (MCP) servers in the AWS Labs MCP open-source repository : CloudWatch MCP server and Application Signals MCP server. These servers enable AI agents to leverage comprehensive observability capabilities for automated troubleshooting and monitoring. The MCP servers allow AI assistants to analyze metrics, alarms, logs, traces, and service health data across your AWS environment to quickly identify and diagnose issues through simple conversational interfaces.

The MCP servers provide curated sets of tools designed specifically for operational troubleshooting scenarios. The CloudWatch MCP server supports alarm-based incident response, metric analysis, and log pattern detection, while the Application Signals MCP server enables service health monitoring through Service Level Objectives (SLOs), and automated root cause analysis using OpenTelemetry data. By leveraging the MCP standard, AI agents can perform complex troubleshooting workflows through natural language interactions, from analyzing alarm patterns, and metric anomalies to investigating service health issues and querying logs and traces. Rather than requiring developers to manually navigate multiple AWS consoles and APIs, these MCP servers enable AI agents to orchestrate these interactions intelligently while reducing the development times typically required for API integrations.

The CloudWatch MCP server can be used with CloudWatch in all AWS regions, and the Application Signals MCP server can be used in all regions where Application Signals is available.

To download and try out these open-source MCP servers locally with your AI-enabled IDE of choice, visit the AWS Labs MCP open-source repository .

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C8g, M8g, and R8g instances are available in AWS Asia Pacific (Singapore) region. These instances are powered by AWS Graviton4 processors and deliver up to 30% better performance compared to AWS Graviton3-based instances. Amazon EC2 C8g instances are built for compute-intensive workloads, such as high performance computing (HPC), batch processing, gaming, video encoding, scientific modeling, distributed analytics, CPU-based machine learning (ML) inference, and ad serving. Amazon EC2 M8g instances are built for general-purpose workloads, such as application servers, microservices, gaming servers, midsize data stores, and caching fleets. Amazon EC2 R8g instances are ideal for memory-intensive workloads such as databases, in-memory caches, and real-time big data analytics. These instances are built on the AWS Nitro System .

AWS Graviton4-based Amazon EC2 instances deliver the best performance and energy efficiency for a broad range of workloads running on Amazon EC2. These instances offer larger instance sizes with up to 3x more vCPUs and memory compared to Graviton3-based instances. AWS Graviton4 processors are up to 40% faster for databases, 30% faster for web applications, and 45% faster for large Java applications than AWS Graviton3 processors.

To learn more, see Amazon EC2 C8g Instances , Amazon EC2 M8g Instances , and Amazon EC2 R8g 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 . 

With VPC Lattice support for Oracle Database@AWS (ODB) you can now connect your applications in VPCs and on-premises to your ODB network. You can also leverage VPC Lattice to privately and securely access Amazon S3 and Amazon Redshift from your Oracle Exadata workloads.

With this launch, your ODB databases can easily connect to AWS services, HTTP APIs and TCP applications, across thousands of VPCs and on-premises, without the need to setup complex networking. VPC Lattice simplifies network management and provides centralized visibility. You can also use ODB managed integrations (powered by VPC Lattice) to privately and securely access Amazon S3 and Amazon Redshift. With a few clicks, you can enable OCI managed backup of your ODB databases to Amazon S3, or configure your own Amazon S3 backup. Additionally, the Zero-ETL integration connects ODB databases to Amazon Redshift to analyze data across multiple databases.

VPC Lattice support is available in all AWS Regions where Oracle Database@AWS is generally available.

To get started, use the AWS Management Console to provision Oracle Database@AWS resources. You can use the AWS CLI, SDK or AWS Management Console to configure VPC Lattice resources. To learn more, please read the launch blog , Amazon VPC Lattice and Oracle Database@AWS documentation.

Oracle Database@AWS is now generally available in the US East (N. Virginia) and US West (Oregon) Regions. It is a joint offering from AWS and Oracle that gives you access to Oracle Exadata Database Service and Oracle Autonomous Database on Dedicated Exadata Infrastructure within AWS data centers. You can benefit from a unified experience between AWS and Oracle with collaborative support, purchasing, management, and operations. Use of Oracle Database@AWS qualifies for AWS commitments as well as Oracle Support Rewards.

With Oracle Database@AWS, you can easily and quickly migrate your Oracle Exadata Database workloads, including Oracle Real Application Clusters (RAC), with minimal to no modifications to databases and associated applications. You can establish low-latency connections between AWS applications and Oracle Database@AWS. Zero-ETL integration with Amazon Redshift enables near real-time analytics and machine learning (ML) on transactional data stored in Oracle Database@AWS. You can store both Oracle-managed backups and backups you manually take to Amazon Simple Storage Service (Amazon S3), which is designed to provide 11 nines of durability. Oracle Database@AWS also integrates with AWS services such as AWS IAM for authentication and authorization, Amazon CloudWatch for monitoring, AWS CloudFormation for infrastructure as code, AWS CloudTrail for governance and compliance, Amazon EventBridge for event management, and Amazon VPC Lattice for simplified connectivity to AWS services.

Oracle Database@AWS will expand to 20 more regions across the Americas, Europe, and Asia Pacific including: US East (Ohio), US West (N. California), Asia Pacific (Hyderabad), Asia Pacific (Melbourne), Asia Pacific (Mumbai), Asia Pacific (Osaka), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (Ireland), Europe (London), Europe (Milan), Europe (Paris), Europe (Spain), Europe (Stockholm), Europe (Zurich), and South America (São Paulo).  

To learn more, visit Oracle Database@AWS and its documentation . You can request a private offer from Oracle through AWS Marketplace and use the AWS Management Console to provision and manage your resources.