Q5D, a manufacturer of robotic cells for product electrification, has introduced a laser-assisted selective metallisation process that enables high-precision, high-speed creation of conductive tracks onto large, complex three-dimensional (3D) substrates. …

Intel has an execution problem said its CEO at its Q4 results meeting which is something we have known for some time. “To be candid, it’s just our execution needs …

Panasonic Industry has announced its latest PIR (passive infrared) motion detector, a Flat Wide Detection Type (12 lens) sensor. It includes PaPIRs+ (Panasonic Passive Infrared Sensors+), the next-generation of Panasonic …

Today, AWS Deadline Cloud announces integration with Foundry Nuke CopyCat, allowing you to run machine learning training jobs for visual effects in the cloud. AWS Deadline Cloud is a fully managed service that simplifies render management for computer-generated 2D/3D graphics and visual effects for films, TV shows, commercials, games, and industrial design.

CopyCat learns visual effects, such as color corrections, beauty finishes, or deblurring, from a set of adjusted frames and automatically applies these adjustments across entire sequences. Instead of cleaning up frames one by one, you can fix a handful of representative frames and CopyCat will automatically apply these changes to the rest of your footage, saving you significant amounts of valuable time. With this integration, you can now train models by submitting CopyCat training jobs directly to your Deadline Cloud render farm. This gives you the ability to scale and run multiple training workloads in parallel while freeing up your artist workstations for creative work. You can monitor and track training jobs alongside other render jobs through the Deadline Cloud interface for one simple view across an entire project.

AWS Deadline Cloud with Nuke CopyCat integration is available in all AWS Regions where AWS Deadline Cloud is supported. To get started, visit our CopyCat integration user guide.

Amazon EC2 High Memory U7i instances are available in new regions. U7i-6tb.112xlarge instances are now available in AWS Asia Pacific (Thailand, Sydney, Singapore), Canada (Central), and AWS GovCloud (US-East), u7i-8tb.112xlarge instances are now available in AWS South America (Sao Paulo), and u7in-16tb.224xlarge instances are now available in AWS GovCloud (US-East). U7i instances are part of AWS 7th generation and are powered by custom fourth generation Intel Xeon Scalable Processors (Sapphire Rapids). U7i-6tb instances offer 6TiB of DDR5 memory, U7in-8tb instances offer 8TiB of DDR5 memory, and U7in-16tb instances offer 16TiB of DDR5 memory, enabling customers to scale transaction processing throughput in a fast-growing data environment.

U7i-6tb and U7i-8tb instances offer 448 vCPUs, support up to 100Gbps Elastic Block Storage (EBS) for faster data loading and backups, deliver up to 100Gbps of network bandwidth, and support ENA Express. U7in-16tb instances offer 896 vCPUs, support up to 100Gbps Elastic Block Storage (EBS) for faster data loading and backups, deliver up to 200Gbps of network bandwidth, and support ENA Express. U7i instances are ideal for customers using mission-critical in-memory databases like SAP HANA, Oracle, and SQL Server. 

To learn more about U7i instances, visit the High Memory instances page .

Today AWS announced enhanced scheduling orchestration to track AWS tagging events, self-service troubleshooting via informational resource tags, an optional EC2 insufficient-capacity retry flow using alternate instance types, and automatic creation of a dedicated EventBridge bus for scheduling events for Instance Scheduler (IS) on AWS. IS’s orchestration and fan-out mechanisms have been re-architected to enable customers to track AWS tagging events, allowing the product to more intelligently sequence and distribute scheduling operations – improving scaling performance and addressing cost-scaling concerns. The product now enables distributed cloud engineer personas to perform self-service troubleshooting in their spoke accounts through informational tags applied to their resources without relying on a central cloud administrator. In addition, an optional Insufficient Capacity Error Retry flow has been added to automatically retry failed start actions using alternate instance types when EC2 encounters insufficient capacity errors, ensuring workloads start reliably even in constrained Availability Zones or regions. Lastly, Instance Scheduler on AWS now automatically creates a dedicated EventBus for scheduling-related events, streamlining integrations and automation workflows.

This update improves Instance Scheduler’s scalability, reduces operational overhead, and increases workload reliability across complex customer environments. You can accelerate issue resolution and boost operational efficiency by empowering distributed cloud engineers to troubleshoot independently. You can enhance overall workload resilience by improving handling of EC2 capacity shortages and simplify integrations by streamlining event routing through the new EventBus to support more extensible automation workflows.

To learn more about Instance Scheduler, visit the Product Page or contact your AWS account team.

Second-generation AWS Outposts racks can now be shipped and installed at your data center and on-premises locations in Argentina, Bangladesh, Colombia, Dominican Republic, Ecuador, India, Kazakhstan, Mexico, Morocco, Nigeria, Oman, Panama, Qatar, Senegal, Serbia, South Africa, Republic of Korea, Taiwan, Thailand, and Uruguay.

Outposts racks extend AWS infrastructure, AWS services, APIs, and tools to virtually any on-premises data center or colocation space for a truly consistent hybrid experience. Outposts racks are ideal for workloads requiring low-latency access to on-premises systems, local data processing, data residency compliance, and migration of applications with local system dependencies. Second-generation Outposts racks support the latest generation of x86-powered Amazon Elastic Compute Cloud (Amazon EC2) instances, starting with C7i, M7i, and R7i instances. These instances provide up to 40% better performance compared to C5, M5, and R5 instances on first-generation Outposts racks. Second-generation Outposts racks also offer simplified network scaling and configuration, and support a new category of accelerated networking Amazon EC2 instances optimized for ultra-low latency and high throughput needs.

With the availability of second-generation Outposts racks in the above countries, you can run AWS services locally in your on-premises facilities to maintain data residency within your country, while connecting to a supported AWS Region for management and operations.

To learn more about second-generation Outposts racks, read this blog post and user guide . For the most updated list of countries and territories and the AWS Regions where second-generation Outposts racks are supported, check out the Outposts rack FAQs page .

Amazon Relational Database Service (Amazon RDS) for SQL Server now supports differential and transaction log restores for instances configured with Multi-AZ and instances with read replicas in the same region. The native SQL Server backup and restore feature provides essential protection for critical data in your SQL Server databases, and it allows you to migrate your databases between different environments, such as from on-premises to Amazon RDS for SQL Server. Differential backups capture all data changes since the most recent full backup, while transaction log backups record every transaction in the database. When combined with full backups, these restore options help you create a comprehensive disaster recovery strategy that minimizes data loss.

Previously, to use native SQL Server differential and transaction log restores, you had to remove Multi-AZ and read replicas to convert your instance to Single-AZ mode, restore the databases, and then reconfigure Multi-AZ and read replicas. Now you can reduce restore time by performing differential and transaction log restores directly on Multi-AZ instances and instances with read replicas, without converting them to Single-AZ first. This enhancement maintains high availability through Multi-AZ and allows read replicas to continue serving read workloads in the same Region during the restore process.

For more information about using differential and transaction log restores, see the Amazon RDS for SQL Server User Guide . This feature is available in all AWS Regions where Amazon RDS for SQL Server is available.

Today, Amazon Bedrock introduces the expansion of the Reserved service tier designed for workloads requiring predictable performance and guaranteed tokens-per-minute capacity. The Reserved tier provides the ability to reserve prioritized compute capacity, keeping service levels predictable for your mission critical applications. It also includes the flexibility to allocate different input and output tokens-per-minute capacities to match the exact requirements of your workload and control cost. This is particularly valuable because many workloads have asymmetric token usage patterns. For instance, summarization tasks consume many input tokens but generate fewer output tokens, while content generation applications require less input and more output capacity. When your application needs more tokens-per-minute capacity than what you reserved , the service automatically overflows to the pay-as-you-go Standard tier, ensuring uninterrupted operations. The Reserved tier is available today for Anthropic Claude Sonnet 4.5 in AWS GovCloud (US-West). Customers can reserve capacity for 1 month or 3 month duration. Customers pay a fixed price per 1K tokens-per-minute and are billed monthly. Amazon Bedrock Reserved Tier is available for customers in AWS GovCloud (US-West) via GOV-CRIS cross-region profile .

With the expansion of the Reserved service tier, Amazon Bedrock continues to provide more choice to customers, helping them develop, scale, and deploy applications and agents that improve productivity and customer experiences while balancing performance and cost requirements.

For more information about the AWS Regions where Amazon Bedrock Reserved tier is available, refer to the Documentation . To get access to the Reserved tier, please contact your AWS account team. 

AWS now includes the AWS Identity and Access Management (IAM)  and AWS Organizations  policy’s Amazon Resource Name (ARN) in access denied error messages in same account and same organization scenarios. This allows you to quickly identify the exact policy responsible for the denied access and take action to troubleshoot the issue.

Before this launch, customers had to identify the root cause of access denied errors based only on the policy type in the error message. This launch expedites troubleshooting when you have multiple policies of the same type, as you can directly see which policy to address for explicit deny cases. The error message now includes the policy ARN for Service Control Policies (SCP), Resource Control Policies (RCP), identity-based policies, session policies, and permission boundaries.

This additional context will gradually become available across AWS services in all AWS regions. To learn more, refer to IAM documentation .