The new PM seems a likely lad for a flutter and I’ve put up a plan to enable Prediction Markets. Prediction Markets have become a big deal in the US. […]
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The new PM seems a likely lad for a flutter and I’ve put up a plan to enable Prediction Markets. Prediction Markets have become a big deal in the US. […]
The post Ed Eyes Prediction Markets appeared first on Electronics Weekly .
Siemens Cre8Ventures and Cloudberry VC have got together to help startups and university spin-outs reduce the time and risk involved in moving from early-stage innovation to industrial deployment. “This collaboration […]
The post Siemens and Cloudberry to help startups appeared first on Electronics Weekly .
Cadence has introduced the AuraStack AI Super Agent on Cadence Allegro AI Studio – an agentic AI platform for PCB and packaging design which spans system planning to final product […]
The post Agentic AI platform for PCB and packaging appeared first on Electronics Weekly .
Rapidus and Cadence are getting together to advance agentic AI by integrating the Cadence InnoStackAI Super Agent into the Rapidus AI-Agentic Design Solution (Raads). The joint effort combines Rapidus’ AI-native […]
The post Cadence and Rapidus hook up on agentic AI appeared first on Electronics Weekly .
Semiconductor company shares have lost over $3 trillion in value since June. The SOX is 20% lower than its June high and the iShares Semiconductor ETF is down 15% from […]
The post Semi stocks falling appeared first on Electronics Weekly .
China president Xi Xinping told the World AI Conference in Shanghai at the weekend: “As ancient Chinese observed: ‘A man of wisdom adapts to changes. A man of knowledge acts […]
The post Xi sets out China’s AI stall appeared first on Electronics Weekly .
The stories cover MicroLED manufacturing, fabbing the Tesla A15 chip, and Bosch starting semiconductor production in the U.S. And there’s also a major landmark for the Chinese space industry and Intel announcing a $5.7 billion capital investment in Fab 34 at Leixlip, Ireland…
The post Most Read – Intel Leixlip, Tesla A15 chip, MicroLED manufacturing appeared first on Electronics Weekly .
The concerns of the day were aired at the1999 9th Future Horizons Electronics Forum in Sintra, Portugal. For Wally Rhines, CEO of Mentor Graphics, the concern was the HE/SW interface. […]
The post Tales In Sintra appeared first on Electronics Weekly .
Samtec is announcing full production availability of its 185-AL series of 1.85 mm 30-degree angled launch board connector (185-AL Series). The angled launch is to allow cables to exit PCBs […]
The post Samtec angled launch connectors for precision RF appeared first on Electronics Weekly .
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Amazon SageMaker HyperPod now supports network topology configuration at the partition level for Slurm orchestrated clusters. A single cluster can now run tree topology in one partition and block topology in another, with each partition using the topology best suited to its instance types. This improves distributed training performance by keeping job placement aligned with the interconnect characteristics of each instance type, so GPU-to-GPU communication is faster, NCCL collective operations are more efficient, and training throughput improves.
HyperPod determines the topology for each partition based on the instance types of its compute instance groups. Partitions with Amazon EC2 UltraServer instance types such as ml.p6e-gb200.36xlarge use block topology, and those with hierarchical-interconnect instance types such as ml.p5.48xlarge, ml.p5e.48xlarge, and ml.p5en.48xlarge use tree topology, while partitions with instance types that don’t provide network topology information remain fully schedulable. HyperPod maintains this configuration automatically as the cluster changes through scale-up, scale-down, and node replacement events, so each partition’s topology always reflects the current state of the cluster.
To get started, create or update a SageMaker HyperPod Slurm cluster running Slurm 25.11 or later with supported GPU instance types. Topology-aware scheduling is enabled by default and requires no configuration. This feature is available in all AWS Regions where Amazon SageMaker HyperPod is supported. To learn more, see Using topology-aware scheduling in Amazon SageMaker HyperPod .