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Deutsche Telekom (DT) is talking to T-Mobile about a merger, reports Reuters. A merger would create a company with a market cap of around $360bn with 200 million mobile subscribers. …
The post Deutsche Telekom and T-Mobile talking about a merger appeared first on Electronics Weekly .
Bolt Graphics has taped-out the test chip for its Zeus GPU which aims to cut the cost of HPC and rendering workloads by up to 17 times. Volume production is …
The post Bolt GPU to cut compute cost 17x appeared first on Electronics Weekly .
Uber is hooking up with Sony’s S.Ride taxi-hailing app in Japan, which will allow anyone with the Uber app to use it to call a cab. The service starts in …
The post Uber gets smart, sexy and speedy in Japan appeared first on Electronics Weekly .
TSMC has no plans to buy ASML’s most advanced litho tool – the $350m high-NA EUV machine, according to deputy co-COO Kevin Zhang, speaking at TSMC’s 2026 Technology Symposium. “We …
The post TSMC introduces A13 node; says no need for high-NA through 2029 appeared first on Electronics Weekly .
ST had Q1 revenues at $3.10bn at a gross margin of 33.8% for an operating income of $70m. For Q2 it expects revenues of $3.45bn at a gross margin of …
The post ST Q1 revenues of $3bn up 23% y-o-y appeared first on Electronics Weekly .
Marvell has bought Polariton Technologies, a developer of high-speed, low-power plasmonics-based silicon photonics devices. The acquisition strengthens Marvell’s optical technology portfolio by adding advanced modulation capabilities that enable continued scaling …
The post Marvell buys Polariton appeared first on Electronics Weekly .
On a visit to Austin, Texas, Caroline Hayes visited Silicon Labs and spoke to Ross Sabolcik, lead of the company’s industrial and commercial IoT business unit about meeting evolving customer …
The post What’s next for Silicon Labs, the IoT and AI appeared first on Electronics Weekly .
The Octolux RDS (Rapid Development System) was unveiled at Microelectronics US by NTX Embedded. The hardware design platform uses AI-powered HMI/control systems to reduce design time. It can enable customers …
The post AI accelerates simulation and data collection in development system appeared first on Electronics Weekly .
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AWS today announced a new delivery option for AWS Data Exports, enabling FinOps teams to send Standard exports—including Cost and Usage Report 2.0 (CUR 2.0), FOCUS, Cost Optimization Recommendations, and Carbon Emissions reports—directly to any authorized AWS account’s Amazon S3 bucket. This capability eliminates the need for for customers to replicate the data across accounts or pay for duplicate storage.
With this launch, customers can now specify the destination S3 bucket in any AWS account when creating an export. The destination account owner controls which source accounts can deliver data through S3 bucket policies, so both accounts explicitly authorize where billing data flows. For example, a FinOps team can configure CUR 2.0 exports from their management account to flow directly into a centralized analytics account within their organization where their cost optimization tools reside, without building custom replication processes. This also supports the security best practice of keeping non-administrative workloads out of management accounts.
This feature is available in all commercial AWS Regions, except the AWS GovCloud (US) Regions and the China Regions.
To learn more about this feature, see AWS Data Exports and AWS Billing and Cost Management in the AWS Cost Management User Guide.
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Amazon SageMaker HyperPod now supports on-demand deep health checks for Amazon EKS and Slurm-orchestrated clusters, enabling you to proactively verify GPU accelerator health on running instances at any time. HyperPod Slurm-orchestrated clusters now also support deep health checks during node provisioning, at the time of cluster creation. This capability addresses a critical challenge where even a single unhealthy node can waste hours of compute time and delay critical workloads.
With on-demand deep health checks, you can target entire instance groups or specific instances to run comprehensive hardware stress tests and connectivity tests before committing compute resources to a job. Progress and results are visible at both the instance group and instance level through the SageMaker console and APIs, providing complete visibility into GPU health, network connectivity, and multi-node communication performance. Instances undergoing checks are automatically isolated from workload scheduling and returned to service upon passing. When paired with HyperPod’s automatic node recovery capability, instances that fail are automatically rebooted or replaced, ensuring cluster health.
This capability is available in all regions where Amazon SageMaker HyperPod is available. To learn more about on-demand health checks, see the documentation .