Advantech AOM-2721 is now Ubuntu Certified
Canonical announced that the Advantech AOM-2721, a compact Size-L Open Standard Module powered by the Qualcomm Octa-core QCS6490 processor, is now Ubuntu Certified for Ubuntu 24.04 LTS. The module del…
Canonical announced that the Advantech AOM-2721, a compact Size-L Open Standard Module powered by the Qualcomm Octa-core QCS6490 processor, is now Ubuntu Certified for Ubuntu 24.04 LTS. The module del…
Canonical announced that NVIDIA's Nemotron 3.5 Lightning, an open 30B hybrid Mixture-of-Experts model with 3B active parameters, is now available on Ubuntu with single-command installation via inferen…
Confidential computing is moving from an infrastructure feature to a compliance-relevant security architecture as regulators increasingly focus on protecting data in use, according to Ijlal Loutfi of …
Canonical's MAAS and Landscape tools together provide cloud-like automation for provisioning, patching, monitoring, and lifecycle management of Ubuntu on bare metal at scale, addressing the operationa…
Canonical is adapting its security processes to address the increased volume and speed of AI-generated vulnerability discoveries, including those from frontier models like Mythos and GPT-5.5. The comp…
Canonical engineer Farshid Tavakolizadeh demonstrated how to build a local AI inference appliance using Ubuntu Core 26 in a virtual machine, leveraging Multipass and the gemma4 snap. The tutorial show…
Cisco and Canonical have released a new Cisco Validated Design (CVD) that combines Canonical's open-source software stack with Cisco's Unified Edge hardware to simplify AI deployment at the network ed…
Canonical published an explainer on RDMA over Converged Ethernet (RoCE), a technology that runs the RDMA programming model over standard Ethernet networks to bypass the kernel and reduce CPU involveme…
Canonical announced that Ubuntu 26.04 LTS will include single-command installations for NVIDIA CUDA, AMD ROCm, and NVIDIA DOCA-OFED, aiming to reduce deployment friction for AI infrastructure. The com…
Canonical engineer Asa Mirzaieva demonstrated how to deploy optimized AI models on Renesas RZ/V series hardware using Ubuntu Core 26 and the Dynamically Reconfigurable Processor for AI (DRP-AI). The w…
Canonical and AMD have integrated the AMD ROCm AI/ML and HPC software stack directly into the Ubuntu 26.04 LTS archive, enabling users to install the libraries with a single `sudo apt install rocm` co…
Microsoft announced the preview of Azure Cobalt 200, its second-generation custom Arm silicon for cloud-native and agentic AI workloads, at Build 2026. Ubuntu and Ubuntu Pro are available on Cobalt 20…
InfiniBand is a purpose-built network interconnect designed to link compute, storage, and accelerator nodes with high bandwidth and low, predictable latency. The technology integrates Remote Direct Me…
Canonical announced a new collaboration with NVIDIA at COMPUTEX 2026 to integrate the NVIDIA OpenShell runtime for AI agents as a verified snap on Ubuntu. The OpenShell snap provides sandboxed, secure…
Canonical and Google Cloud announced the availability of certified Ubuntu images for Cloud TPU virtual machines on Google Cloud, with the operating system now preinstalled by default when setting up t…
Canonical announced Workshop on May 27, 2026, a tool that lets developers launch sandboxed development environments on Ubuntu with a single command. The solution uses YAML configuration files to creat…
Canonical announced the release of Workshop, a tool that launches sandboxed development environments with a single command, enabling consistent and repeatable workflows across different machines. The …
Canonical has launched Workshop, a new tool that creates sandboxed, repeatable development environments defined through YAML files. The tool allows developers to run agentic workflows and experimental…
Canonical and Arm have partnered to certify Ubuntu 26.04 LTS on the new Arm AGI CPU, a high-performance processor designed for agentic AI workloads. The Arm AGI CPU features up to 136 Neoverse V3 core…
Canonical has introduced Embedded AI, a development approach that packages local LLM inference directly into web applications as a software dependency rather than relying on remote, metered AI APIs. T…