Q1 wafer shipments fell 5.4% q-o-q to 2,834 million square inches – a 13.2% drop from the 3,265 million square inches recorded during the same quarter last year, says SEMI. …
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Q1 wafer shipments fell 5.4% q-o-q to 2,834 million square inches – a 13.2% drop from the 3,265 million square inches recorded during the same quarter last year, says SEMI. …
The post Q1 wafers fall appeared first on Electronics Weekly .
Rogue Valley Microdevices, the Oregon pure-play MEMS foundry, has announced that its second 50,000-square-foot fab, currently under construction on the “Space Coast” of Florida will be 300mm capable and running …
The post Rogue Valley Microdevices building 300mm MEMS foundry fab appeared first on Electronics Weekly .
imec.xpand, an independent global venture capital fund, today announced the launch of a new EUR 300 million fund aimed at accelerating the growth of transformative semiconductor and nanotechnology innovations. Established …
The post Imec.xpand launches €300m fund appeared first on Electronics Weekly .
By Steve Bush
Texas Instruments has turned to 45nm RF CMOS process to squeeze a 60GHz radar, including antenna, into an 11 x 6.7mm package only 0.8mm tall. IWRL6432AOP is an FMCW radar …
The post 60GHz antenna-in-package radar IC for industry appeared first on Electronics Weekly .
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Amazon EMR Serverless is a serverless option in Amazon EMR that makes it simple for data engineers and data scientists to run open-source big data analytics frameworks without configuring, managing, and scaling clusters or servers. An EMR Serverless application uses workers to execute workloads, allowing users to configure ephemeral storage per worker based on the workload’s needs. Today, we are excited to introduce Shuffle-optimized disks on Amazon EMR Serverless, offering increased storage capacity (up to 2TB) and higher IOPS delivering better performance for I/O-intensive Spark and Hive workloads. Shuffle is a fundamental step in an Apache Spark or Apache Hive job, involving I/O intensive operations that redistributes or reorganizes data for parallel computations during operations like joins, aggregations, or transformations. Complex workloads with large datasets to shuffle require sufficient disk capacity and I/O performance for optimized shuffle processing. Shuffle-optimized disks offer up to 2TB of storage capacity and higher baseline IOPS, enabling you to efficiently run shuffle-heavy and I/O-intensive Spark and Hive workloads. Shuffle-optimized disks are generally available on EMR release versions 7.1.0 in all AWS Regions where EMR Serverless is available, excluding AWS GovCloud (US) and China regions. For more information on Shuffle-optimized disks, visit the EMR Serverless User Guide. For pricing info on Shuffle-optimized disks, visit the EMR Serverless pricing page.
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Amazon EFS file systems now support up to 1.5 GiB/s of throughput per client, a 3x increase over the previous limit of 500 MiB/s. With this launch, you now have a simpler way to run throughput-intensive file workloads on AWS. Amazon EFS provides serverless, fully elastic file storage that simplifies setting up and running file workloads in the AWS cloud. Starting today, Amazon EFS file systems can now deliver up to 1.5 GiB/s of throughput to a single Amazon EC2 instance or Amazon EKS pod. This performance boost especially benefits throughput-intensive workloads – such as financial analytics, genomics, and video transcoding – that drive high levels of throughput from one or many individual clients. With this launch, you can process data up to 3x faster on Amazon EFS, meaning you can deliver insights more quickly and with lower compute costs. This increased per-client throughput limit is available for all file systems using the EFS Elastic Throughput mode and mounted using the latest version of the Amazon EFS client (amazon-efs-utils) or the Amazon EFS CSI Driver (aws-efs-csi-driver). This performance increase is supported in all commercial AWS Regions at no additional cost. To learn more, see the EFS Documentation.
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Amazon CloudWatch is excited to announce a resource filtering capability for cross-account observability, providing customers with the flexibility to share a subset of their logs or metrics across multiple AWS accounts using configurable filters. Cross-account observability in Amazon CloudWatch allows you to seamlessly search, visualize, and analyze all your metrics and logs, without any account boundaries. With today’s launch, you can include or exclude logs and metrics shared across accounts, allowing you to make analysis specific to certain logs and metrics to identify trends and insights. This will help customers to efficiently monitor and troubleshoot issues affecting the health of their applications by only sharing required logs and metrics to a cross-account. Logs and metrics resource filtering for cross-account in Amazon CloudWatch is available in all commercial AWS Regions at no extra cost. With a few clicks in the AWS Management Console, you can start using CloudWatch resource filtering to share a subset of logs and metrics to your monitoring account. Alternatively, you can use the AWS Command Line Interface (AWS CLI), AWS SDKs, and AWS CloudFormation. To learn more about cross-account observability, please refer to our documentation. You can learn more about CloudWatch cross-account pricing here.
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You can now enable agent screen recording when your VDI environment is configured to allow multiple agents to connect concurrently to the same Windows instance (multi-session VDI). This makes it even easier and more cost effective for you to help agents improve their performance when using Amazon Connect in a multi-session VDI environment. You can enable agent screen recording for multi-session VDI by deploying the latest version of the screen recording client application. Amazon Connect automatically creates separate agent screen recordings for each agent that is logged into the same desktop, which you can view directly in the Amazon Connect web UI, alongside call recordings, agent evaluations, transcripts, and call summaries. Agent screen recording is available in all the AWS Regions where Amazon Connect Contact Lens is already available. To learn more about agent screen recording, please visit the documentation and webpage. For more information about agent screen recording pricing, visit the Amazon Connect pricing page.
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Starting today, you can enable Route 53 Resolver DNS Firewall to automatically skip the inspection of domains included in a domain redirection chain, such as Canonical Name (CNAME) and Delegation Name (DNAME), thus avoiding the need to explicitly specify each domain from the chain in your Route 53 DNS Firewall rules when allow-listing domains. Before today, when allow-listing domains, Route 53 DNS Firewall compared every DNS query from your VPC against the domains in the allow-list associated to a DNS Firewall rule. If an incoming query was for a domain present in a redirection chain (e.g. CNAME) that was not included in your allow-list of domains, DNS Firewall would block the DNS resolution for this domain, thereby requiring you to explicitly add each domain in the redirection chain to the allow-list. With this release, you can now configure the DNS Firewall rule to automatically apply to all domains in a redirection chain, such as CNAME or DNAME, without requiring you to add each domain in the chain to the allow-list. Route 53 Resolver DNS Firewall support for domain redirection is available in all Regions where Route 53 is available, including the AWS GovCloud (US) Regions. Visit the AWS Region Table to see all AWS Regions where Amazon Route 53 is available. You can get started by using the AWS Console or Route 53 API. For more information, visit the Route 53 Resolver product detail page, the feature documentation, or the step-by-step guide in the AWS News Blog. For details on pricing, visit the pricing page.
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Today, Amazon Pinpoint announces support for outbound multimedia messaging service (MMS) within the United States and Canada. The addition of MMS allows Amazon Pinpoint users to enhance their customer communication experiences with the ability to combine traditional text-only messaging with rich media content such as images, audio, and video files. To get started, navigate to the phone number page on your Amazon Pinpoint SMS console. This page provides the option to purchase a new phone number with SMS and MMS capability, or to check MMS eligibility on an existing US or Canadian Pinpoint SMS phone number. To submit a new MMS registration request, follow the existing toll-free, 10DLC, and short code registration process. Once your registration is approved, you can begin using the MMS API to send images, video, and audio files. With the new MMS feature, you can track your monthly spend, set Amazon CloudWatch alerts, and collect delivery events using the same AWS tools that are available today. The MMS feature is available in all existing Amazon Pinpoint SMS regions. To learn more and get started, please refer to the following documentation.