Join us for a deep dive into the role of vector databases in generative AI applications. Vector databases facilitate efficient data representation, retrieval and manipulation, enabling AI systems to generate high-fidelity outputs across various domains, from natural language processing to image synthesis. This webinar will discuss various concepts, such as generative AI, retrieval augmented generation (RAG), the importance of search engines, and efficient open source tooling that enables developers and enthusiasts to build their generative AI applications.

2 commands to install and run Canonical Kubernetes. sudo snap install k8s --channel=1.30-classic/beta --classic sudo k8s bootstrap.

Pro Client provides an intuitive wizard to enroll your Ubuntu 24.04 LTS machine to any Landscape instance. “pro enable landscape” installs Landscape Client, and offers a guided wizard to enroll the current machine, and a shortcut for skipping the wizard on other machines.

Ubuntu 24.04 LTS Noble Numbat is here.

Safety is a key element in navigating AI within the automotive ecosystem. 🚗 Listen on Spotify about the future implications of AI in automotive, as discussed by Bertrand Boisseau, our automotive industry lead at Canonical.

The emergence of DevOps has changed the way enterprises handle software delivery processes, leading to faster and improved quality. After DevOps has been coined, other practices such as DataOps, MLOps, and AIOps have emerged. In the podcast, Michelle and Andreea, Data PM and AI Product Managers, respectively, will be discussing the significance of these Ops processes in streamlining and optimizing enterprise data, machine learning, and AI projects and use cases.

This video will teach you how you can launch a Ubuntu instance on Google Vertex AI, which embodies the AI/ML tools you need for training LLM.

AI is at the heart of a revolution in the technology space. Organisations from all industries are looking for ways to put AI to work. Once they have finalised use case assessment, their next question is typically related to the environment they will use to develop and deploy their AI initiatives. They often prefer the public clouds as an initial environment, because of the computing power and ability to scale as projects mature. In addition to the infrastructure, enterprises need software where they can develop and deploy the machine learning models.

Introducing Charmed MongoDB – Canonical’s enterprise-grade MongoDB database offering. Charmed MongoDB simplifies the operations of MongoDB applications through automation, security, scalability, availability and monitoring. Charmed MongoDB is the cost-effective, reliable, secure and scalable way to use MongoDB on any cloud, hybrid cloud or on-premise. It also provides additional support, managed services, and expert services, so enterprises can run MongoDB in production at a lower cost, bug-free and in the most optimised way.