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The landscape of artificial intelligence is rapidly evolving, demanding robust and scalable infrastructure. To meet these challenges, we’ve developed a comprehensive reference architecture (RA) that leverages the power of open-source tools and cutting-edge hardware. This architecture, built on Canonical’s MicroK8s and Charmed Kubeflow, ru ...
The landscape of generative AI is rapidly evolving, and building robust, scalable large language model (LLM) applications is becoming a critical need for many organizations. Canonical, in collaboration with NVIDIA, is excited to introduce a reference architecture designed to streamline and optimize the creation of powerful LLM chatbots. T ...
The world of edge AI is rapidly transforming how devices and data centers work together. Imagine healthcare tools powered by AI, or self-driving vehicles making real-time decisions. These advancements rely on bringing AI directly to edge devices. However, building a robust architecture for diverse edge environments presents significant hu ...
Kubeflow is a cloud-native, open source machine learning operations (MLOps) platform designed for developing and deploying ML models on Kubernetes. Kubeflow helps data scientists and machine learning engineers run the entire ML lifecycle within one tool. Charmed Kubeflow is Canonical’s official distribution of Kubeflow. The key benefits o ...
We are ready to connect with the pioneers of open-source innovation! Canonical, the force behind Ubuntu, is returning as a gold sponsor at KubeCon + CloudNativeCon North America 2024. This premier event, hosted by the Cloud Native Computing Foundation, brings together the brightest minds in open source and cloud-native technologies. From ...
Why should you use an official distribution of Kubeflow? Kubeflow is an open source MLOps platform that is designed to enable organizations to scale their ML initiatives and automate their workloads. It is a cloud-native solution that helps developers run the entire machine learning lifecycle within a single solution on Kubernetes. It can ...
Running AI workloads at the edge with Canonical and Lenovo AI is driving a new wave of opportunities in all kinds of edge settings—from predictive maintenance in manufacturing, to virtual assistants in healthcare, to telco router optimisation in the most remote locations. But to support these AI workloads running virtually everywhere, com ...
The accelerated developments in machine learning and artificial intelligence in healthcare have set the stage for some interesting transformations. By enabling better care for patients, optimizing processes, and generating new opportunities for medical research and treatment, these technologies are indeed going to change the healthcare in ...
After releasing a new version of Ubuntu every six months for 20 years, it’s safe to say that we like keeping our traditions. Another of those traditions is our commitment to giving our Kubeflow users early access to the latest version – and that promise still stands. Kubeflow 1.9 is about to go out in ...
It’s been over two years since generative AI (GenAI) took off with the launch of ChatGPT. From that moment on, a variety of applications, models and libraries were launched to address market needs and simplify enterprise activity. As Deloitte observes in its State of Generative AI Q2 2024 report, organisations are now at a stage ...
Widely adopted by both developers and organisations, Kubeflow is an MLOps platform that runs on Kubernetes and automates machine learning (ML) workloads. It covers the entire ML lifecycle, enabling data scientists and machine learning engineers to develop and deploy ML models. Kubeflow is designed as a suite of leading open source project ...
