High Bandwidth Flash (HBF) using stacked DRAM and NAND die in the same package is seen as a challenger to High Bandwidth Memory (HBM), particularly for inference. Used with the …
The post HBF challenges HBM appeared first on Electronics Weekly .
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High Bandwidth Flash (HBF) using stacked DRAM and NAND die in the same package is seen as a challenger to High Bandwidth Memory (HBM), particularly for inference. Used with the …
The post HBF challenges HBM appeared first on Electronics Weekly .
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AWS Backup now supports AWS PrivateLink for SAP HANA systems running on Amazon EC2. This enables customers to route all backup traffic through private network connections, helping organizations meet security and compliance requirements for regulated workloads.
Customers in regulated industries such as financial services, healthcare, and government agencies often require that all traffic remain on private networks. Previously, while SAP HANA application workloads could use AWS PrivateLink for secure, private communication with AWS services, backup traffic to AWS Backup had to traverse public endpoints. With this release, you can now use AWS PrivateLink for AWS Backup storage endpoints, ensuring your SAP HANA workloads on EC2 maintain end-to-end private connectivity for both application traffic and backup data. This helps organizations subject to HIPAA, EU/US Privacy Shield, and PCI DSS regulations implement fully private data protection strategies.
This feature is available in all AWS Regions where AWS Backup supports SAP HANA databases on EC2. To get started, update your Backint agent and add the backup-storage VPCE to your VPC .
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Starting today, customers can create nested environments within virtualized Amazon EC2 instances. Previously, customers could only create and manage virtual machines inside bare metal EC2 instances. With this launch, customers can create nested virtual machines by running KVM or Hyper-V on virtual EC2 instances. Customers can leverage this capability for use cases such as running emulators for mobile applications, simulating in-vehicle hardware for automobiles, and running Windows Subsystem for Linux on Windows workstations.
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Amazon EC2 High Memory instances are now available in new regions – U7i-6tb.112xlarge instances in AWS South America (Sao Paulo) and Europe (Milan), U7i-12tb.224xlarge in AWS GovCloud (US-East), and U7in-16tb.224xlarge instances in Europe (London). 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, U7i-12tb instances offer 12TiB 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 instances offer 448 vCPUs and support up to 100Gbps Elastic Block Storage (EBS) and deliver up to 100Gbps of network bandwidth. U7i-12tb instances offer 896 vCPUs, support up to 100Gbps Elastic Block Storage (EBS) and deliver up to 100Gbps of network bandwidth. U7in-16tb instances offer 896 vCPUs, support up to 100Gbps Elastic Block Storage (EBS) and deliver up to 200Gbps of network bandwidth for faster data loading and backups. All U7i instances 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 .
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Starting today, Amazon DocumentDB (with MongoDB compatibility) offers Long-Term Support (LTS) on DocumentDB 5.0, enabling customers to reduce database upgrade frequency and maintenance overhead. LTS versions will receive only critical stability and security patches without introducing new features.
To get started, create a new DocumentDB cluster engine version 5.0.0, or patch your existing engine version 5.0.0 cluster during your next maintenance window. Verify you’re running the required Engine Patch Version by connecting to your cluster and running db.runCommand({getEngineVersion: 1}). Ensure you’re running Engine Patch Version 3.0.17983 or later.
This LTS release is available in all Amazon Web Services regions where DocumentDB is offered. For more details about DocumentDB LTS, and how to check to see what engine patch version you’re on, refer to the Long-Term Support (LTS) release for Amazon DocumentDB .
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Starting today, Amazon Elastic Compute Cloud (Amazon EC2) M7i instances powered by custom 4th Gen Intel Xeon Scalable processors (code-named Sapphire Rapids) are available in the Israel (Tel Aviv) region. These custom processors, available only on AWS, offer up to 15% better performance over comparable x86-based Intel processors utilized by other cloud providers.
M7i deliver up to 15% better price-performance compared to M6i. M7i instances are a great choice for workloads that need the largest instance sizes or continuous high CPU usage, such as gaming servers, CPU-based machine learning (ML), and video-streaming. M7i offer larger instance sizes, up to 48xlarge, and two bare metal sizes (metal-24xl, metal-48xl). These bare-metal sizes support built-in Intel accelerators: Data Streaming Accelerator, In-Memory Analytics Accelerator, and QuickAssist Technology that are used to facilitate efficient offload and acceleration of data operations and optimize performance for workloads.
To learn more, visit Amazon EC2 M7i Instances . To get started, see the AWS Management Console .
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AWS HealthImaging has launched additional metrics through Amazon CloudWatch that enable monitoring storage at the account and data store levels. These new metrics help customers better understand their medical imaging storage and growth trends over time.
HealthImaging now provides customers with granular CloudWatch metrics to monitor their data stores. Customers can track storage by volume, number of image sets, and the number of DICOM studies, series, and instances. These metrics provide the insights needed to manage both single-tenant and multi-tenant workloads at petabyte scale. To learn more, visit Using Amazon CloudWatch with HealthImaging .
AWS HealthImaging is a HIPAA-eligible service that empowers healthcare providers and their software partners to store, analyze, and share medical images. AWS HealthImaging is generally available in the following AWS Regions : US East (N. Virginia), US West (Oregon), Asia Pacific (Sydney), and Europe (Ireland).
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AWS announces Amazon EC2 Hpc8a instances, the next generation of high performance computing optimized instance, powered by 5th Gen AMD EPYC processors (formerly code named Turin). With a maximum frequency of 4.5GHz, Hpc8a instances deliver up to 40% higher performance and up to 25% better price performance compared to Hpc7a instances, helping customers accelerate compute-intensive workloads while optimizing costs.
Built on the latest sixth-generation AWS Nitro Cards , Hpc8a instances are designed for compute-intensive, latency-sensitive HPC workloads. They are ideal for tightly coupled applications such as computational fluid dynamics (CFD), weather forecasting, explicit finite element analysis (FEA), and multiphysics simulations that require fast inter-node communication and consistent high performance.
Hpc8a instances feature 192 cores, 768 GiB memory and 300 Gbps of Elastic Fabric Adapter (EFA) network bandwidth, enabling fast, low-latency cluster scaling for large-scale HPC workloads. Compared to Hpc7a instances, Hpc8a instances also provide up to 42% higher memory bandwidth, further improving performance for memory-intensive simulations and scientific computing workloads.
Hpc8a instances are available today in US East (Ohio) and Europe (Stockholm). Customers can purchase Hpc8a instances via Savings Plans or On-Demand instances. To get started, sign in to the AWS Management Console . For more information visit the Amazon EC2 Hpc8a instance page or AWS news blog .
I am quietly liquidating my AI-related investments, Ed confides to his diary, I hear that companies involved in AI infrastructure-related activities and semiconductor-adjacent areas are seeing less interest. Very likely …
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Sony has developed a technology which can tell if AI-generated music uses, or was trained on, music previously generated by others, reports the Nikkei. It can also measure the amount …
The post Sony tech identifies earlier compositions in AI-generated music appeared first on Electronics Weekly .