TSMC reported  Q3 revenues up 41.2% YoY and 17.2% QoQ at $46.72 billion Gross margin for the quarter was 66.4%, operating margin was 58.7%, and net profit margin was 51.1%. […]

The post TSMC has $47bn revenue Q3 appeared first on Electronics Weekly .

Critical National Infrastructure (CNI) products may remain in service for 10 or even 20 years. During that time software changes, attack techniques evolve and regulation becomes more demanding, writes Jim […]

The post Beyond software patching: how CHERI can limit the blast radius in long-life CNI systems appeared first on Electronics Weekly .

The UK’s Defence Science and Technology Laboratory (Dstl) has been trialling – in a HEADS UP project – a human-centred design approach to novel technologies that are worn or carried. […]

The post HEADS UP – Dstl trialling safe usage of head-mounted military technology appeared first on Electronics Weekly .

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 Europe (Stockholm), Asia Pacific (Mumbai), and Asia Pacific (Seoul). M8gd instances are now available in Europe (Stockholm), US West (N. California), and Asia Pacific (Singapore). 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.

C8gd instances are ideal for compute-intensive workloads such as high-performance web servers, batch processing, distributed analytics, ad serving, video encoding, and gaming servers. M8gd instances are well-suited for balanced workloads including application servers, microservices, enterprise applications, and small to medium databases.

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 .

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C9g and C9gd instances are available in the Asia Pacific (Malaysia, Seoul, Singapore) regions. Amazon EC2 M9g and M9gd instances are available in the Asia Pacific (Malaysia) and Europe (Spain) regions. These instances are powered by AWS Graviton5 processors, the fifth generation of custom-designed CPUs, which deliver the best price performance for a broad range of workloads running on Amazon EC2.

C9g and C9gd instances and M9g and M9gd instances deliver up to 25% better compute performance than AWS Graviton4-based C8g, C8gd, M8g, and M8gd instances. They are up to 30% faster for databases, up to 35% faster for web applications, and up to 35% faster for machine learning. These instances are built on the sixth-generation AWS Nitro System and are the first to feature the Nitro Isolation Engine . The Isolation Engine uses formal verification to provide mathematical assurance that customer workloads are isolated from each other and from AWS operators, pioneering a new standard for mathematically proven cloud security.

C9g instances are ideal 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, real-time analytics, and ad serving. M9g instances serve a broad range of general-purpose workloads, including application servers, microservices, gaming, caching, and containers. They also deliver the performance needed for agentic AI use cases like real-time reasoning, code generation, and multi-step orchestration. C9gd and M9gd instances add local NVMe-based SSD block-level storage for workloads that need high-speed, low-latency local storage for scratch space, temporary files, and caches.

C9g, C9gd, M9g, and M9gd instances are available for purchase in these regions via Savings Plans, On-Demand, Spot Instances, Dedicated Instances, or Dedicated Hosts. Level up your compute with AWS Graviton and get started today with C9g and M9g .

Amazon Elastic Compute Cloud (Amazon EC2) M8id instances with up to 22.8 TB of local NVMe-based SSD block-level storage are now available in Asia Pacific (Malaysia) and Asia Pacific (Sydney). M8id instances are designed for workloads that require a balance of compute and memory resources along with high-speed, low-latency local block storage, including data logging, media processing, and medium-sized data stores.

Amazon EC2 M8id instances offer 3 times more vCPUs, memory and local storage compared to previous sixth-generation instances. These instances deliver up to 43% higher compute performance and 3.3 times more memory bandwidth compared to previous sixth-generation M6id instances. They also 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 compared to previous sixth generation instances.

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.

Customers can purchase these instances via Savings Plans, On-Demand instances, and Spot instances. For more information visit the Amazon EC2 M8id page.

Starting today, AWS Lambda durable functions increases the maximum number of durable operations per execution from 3,000 to 30,000, and the maximum checkpoint payload size from 256 KB to 1 MB. Higher operation limits let you safely do more work in a single execution including expanding iterative loops, polling for longer time periods, and building more complex rollback paths that run when a step fails. At 1 MB, checkpoint payloads match the maximum payload size of asynchronous Lambda invocations, and integration services such as Amazon SQS, and Amazon EventBridge, so a workflow can persist a full event from any of these sources in a single operation.

AWS Lambda durable functions helps you build resilient multi-step applications and AI workflows that execute for up to one year, with built-in checkpointing, automatic retries, and waits that suspend execution without incurring compute charges. Every durable operation counts toward the per-execution limit, including each step attempt, each poll of a wait-for-condition, and each branch of a parallel or map operation. With 30,000 operations, a single execution has more room to coordinate complex, multi-step workflows, iterate across thousands of items, or poll an external system for weeks, without exceeding checkpoint limits.

An agentic application can reason over thousands of model and tool calls, and with 1 MB checkpoints it persists larger conversation histories, model responses, and outputs from tools directly in the checkpoint instead of writing to external storage. For state larger than 1 MB, the JavaScript and Python SDKs include a FileSystem serializer that writes the payload to an Amazon EFS or Amazon S3 Files mount and checkpoints a pointer instead.

 The new limits apply in all AWS Regions where AWS Lambda durable functions is available. To learn more about these service limits, see the AWS Lambda developer guide .

Amazon S3, including S3 Tables and S3 Vectors, is now available on the Vercel Marketplace and v0 by Vercel. Developers can create and connect S3 resources in seconds without leaving their development environment, getting the durability, scalability, and performance of S3 through Vercel’s streamlined provisioning workflow.

Millions of customers rely on S3 for low-cost, high-performance storage to power web and AI applications, but until now provisioning it from Vercel required navigating to the AWS Management Console. Now, S3 integrates directly into the Vercel developer experience, automatically handling resource provisioning and connection configuration. You can choose from S3 general purpose buckets for virtually any use case, S3 Tables for fully managed Apache Iceberg tables optimized for analytics workloads, or S3 Vectors to natively store and query vectors at scale.

New AWS accounts created through Vercel include $100 in credits valid for up to six months, usable across Amazon S3, Amazon OpenSearch Serverless, and AWS Database services. Existing AWS customers can link their account to use S3 with their Vercel projects.

Amazon S3 on Vercel is now available in all AWS Regions where Vercel is available. To get started, read the AWS News Blog , visit AWS on Vercel Marketplace , or launch v0 by Vercel .

Amazon RDS Proxy , a fully managed, highly available database proxy for Amazon Relational Database Service (RDS) , now supports Amazon RDS for SQL Server  instances running major version 2022.

Amazon RDS Proxy sits between your application and the database to pool and share established database connections, improving database efficiency and application scalability. For Amazon RDS for SQL Server Multi-AZ databases, RDS Proxy automatically connects to the standby database instance during a failure, preserves application connections, and helps reduce failover times by up to 83%. RDS Proxy supports standard IAM authentication for SQL Server, where your applications authenticate to the proxy using AWS Identity and Access Management (IAM) and RDS Proxy manages database connections using credentials stored in AWS Secrets Manager.

You can enable Amazon RDS Proxy for your SQL Server 2022 database in a few steps on the Amazon RDS console, then connect by pointing your application to the RDS Proxy endpoint. To get started, see our documentation .

AWS Backup now supports Amazon FSx for Lustre, Amazon FSx for NetApp ONTAP, Amazon FSx for OpenZFS, and Amazon FSx for Windows File Server in the Asia Pacific (New Zealand) Region.

With this launch, you can use AWS Backup to centrally automate and manage data protection for your Amazon FSx file systems in the Asia Pacific (New Zealand) Region, alongside your other supported AWS resources. You can create policy-based backup plans to schedule backups and apply retention rules, store backups in encrypted vaults, and restore file systems when needed. This helps you meet business continuity, disaster recovery, and regulatory compliance requirements from a single, centralized service.

To get started, visit the AWS Backup console, AWS Command Line Interface (CLI), or AWS SDKs. For a complete list of supported Regions and features, visit the AWS Backup documentation . To learn more about AWS Backup, visit the product page and pricing page .