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Sustaining a Core Part of the Linux Ecosystem The Linux Foundation has announced a second year of sponsorship for the ongoing maintenance of the Linux manual pages (man-pages) project, led by Alejandro (Alex) Colomar. This critical initiative is made possible through the continued support of Google, Hudson River Trading, and Meta, who have renewed their […]
The post Celebrating the Second Year of Linux Man-Pages Maintenance Sponsorship appeared first on Linux.com.
In Part One of this series, we examined how the SONiC control plane and the VPP data plane form a cohesive, software-defined routing stack through the Switch Abstraction Interface. We outlined how SONiC’s Redis-based orchestration and VPP’s user-space packet engine come together to create a high-performance, open router architecture. In this second part, we’ll turn […]
The post Disaggregated Routing with SONiC and VPP: Lab Demo and Performance Insights – Part Two appeared first on Linux.com.
The networking industry is undergoing a fundamental architectural transformation, driven by the relentless demands of cloud-scale data centers and the rise of software-defined infrastructure. At the heart of this evolution is the principle of disaggregation: the systematic unbundling of components that were once tightly integrated within proprietary, monolithic systems. This movement began with the separation […]
The post Disaggregated Routing with SONiC and VPP: Architecture and Integration – Part One appeared first on Linux.com.
When teams consider deploying Kubernetes, one of the first questions that arises is: where should it run? The default answer is often the public cloud, thanks to its flexibility and ease of use. However, a growing number of organizations are revisiting the advantages of running Kubernetes directly on bare metal servers. For workloads that demand […]
The post Kubernetes on Bare Metal for Maximum Performance appeared first on Linux.com.
This article was contributed by Vedrana Vidulin, Head of Responsible AI Unit at Intellias (LinkedIn). As AI becomes central to smart devices, embedded systems, and edge computing, the ability to run language models locally — without relying on the cloud — is essential. Whether it’s for reducing latency, improving data privacy, or enabling offline functionality, local AI […]
The post How to Deploy Lightweight Language Models on Embedded Linux with LiteLLM appeared first on Linux.com.