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AI clusters
Trends
- 1
Homa, a transport protocol designed for data centers, is being presented as a replacement for TCP in AI training clusters. The argument is that TCP's limitations on latency and congestion control make it poorly suited to the traffic patterns of large-scale machine learning workloads, and that purpose-built protocols can deliver better performance for GPU clusters.
- 2Weekly Linux roundup: OpenMandriva, Ubuntu beta, Nitrux 7.0 and more●Catch up on the latest Linux news: OpenMandriva ROME 26.09, Ubuntu 26.10 Beta, Nitrux 7.0, Firefox 157, Wine 11.19, Git
A week of releases across the Linux ecosystem: OpenMandriva ROME 26.09 and Nitrux 7.0 shipped, Ubuntu 26.10 entered beta, and updated versions of Firefox 157, Wine 11.19 and Git 2.56 landed. In project news, the COSMIC desktop has stopped accepting AI-generated pull requests, a decision drawing attention among developers. The roundup bundles the main open-source headlines from the past week.
- 3
AI safety, real-world robotics and digital identification are being covered together as a cluster of emerging technology issues. The discussion links concerns about controlling advanced AI with the growing deployment of robots outside labs and the spread of digital ID systems, raising questions about regulation, security and how these technologies will affect everyday life.
- 4Startup wins Nvidia and Intel backing for AI optics▼A look at the startup winning Nvidia, Intel backing for AI scale-up optics
A startup specializing in optical interconnect technology for AI scale-up systems has secured backing from both Nvidia and Intel, according to industry outlet DigiTimes. The investment signals growing interest in optical solutions to handle the massive data bandwidth demands of AI computing clusters, as chipmakers look beyond traditional copper connections for faster, more energy-efficient links between processors.