Data centres are going through a transformation. Gradually, we will see a new type of equipment attached to servers in almost every data centre: smartNICs are here. They will be the enablers of converged data centres where common infrastructure tasks are offloaded from a host server to attached network interface cards (NIC).

I recently recorded a Lightboard presentation on securing open source software dependencies in the public cloud. This blog summarises, and expands upon, some of the key elements from that presentation: I think about this topic through two lenses: software supply chains and updating software dependencies while maintaining stability.

Have you heard the news? Charmed Kubeflow 1.8 is available in Beta. Kubeflow is the foundation of Canonical MLOps. The latest release brings improved capabilities to personalise different components of the platform, including the images that can be used in Notebooks. We are looking for data scientists, machine learning engineers, creators and AI enthusiasts to take Charmed Kubeflow 1.8 Beta for a test drive and share their feedback with us.

On 24 July 2023, security researchers from Google’s Information Security Engineering team disclosed a hardware vulnerability affecting AMD’s Zen 2 family of microprocessors. They dubbed this vulnerability “Zenbleed” (CVE-2023-20593), evoking memories of previous vulnerabilities like HeartBleed and hinting at its possible impact.

Digital innovation is transforming finance. Advances in financial technology such as mobile money, peer-to-peer (P2P) or marketplace lending, robo advice, and insurance technology (InsurTech) are reshaping many areas – from payments to wealth management. Over the past decade, fintechs have already driven enhanced access to financial services for retail users. Technology advances in connectivity, data processing, and storage have contributed to the current wave of technology-based finance.

London, United Kingdom, 26 September 2023. Canonical announced today that Charmed MLFlow, Canonical’s distribution of the popular machine learning platform, is now generally available. Charmed MLFlow is part of Canonical’s growing MLOps portfolio. Ideal for model registry and experiment tracking, Charmed MLFlow is integrated with other AI and big data tools such as Apache Spark and Kubeflow. The solution runs on any infrastructure, from workstations to public and private clouds.