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The Raspberry Pi Foundation has a new product — the Raspberry Pi 400. The flagship Raspberry Pi 4 was released in June 2019. Since, they added an 8GB model, brought out the Compute Module 4, we certified all Raspberry Pis since Raspberry Pi 2 and we worked together to make the full Ubuntu Desktop ‘just work’ on a Raspberry Pi 4. Now, Ubuntu Server and Ubuntu Desktop also work, out of the box, with the all-new Raspberry Pi 400.  You can get it on its own, the Raspberry Pi 400 keyboard computer itself. Or as a kit including a beginners guide, a Raspberry Pi official power supply and an official mouse (pictured at the end of the article). We are also delighted to say that for a month you can also get an Ubuntu Desktop Groovy Gorilla sticker when you purchase a Raspberry Pi 4 from Pimoroni. The folks at Pimoroni run their Raspberry Pi business on Ubuntu and very kindly agreed to ship some Groovy Gorilla merch with relevant orders. The latest and greatest The changes from the ...

On the 22nd of October, the 20.10 release was launched, featuring an Ubuntu Desktop image optimised for the Raspberry Pi.  It brings together Ubuntu and Raspberry Pi for educators, inventors and entrepreneurs, bringing the world’s most used open-source desktop to the world’s most accessible hardware. Getting started on Raspberry Pi using Ubuntu  Desktop Learn more about the new release from our blog posts or catch up on YouTube for the full story and how to get started. Rhys Davies, Raspberry Pi Product Manager and Martin Wimpress, Desktop Engineering Director, were the hosts of the live event where we shared all the surprises that we prepared for you with our Raspberry Pi partners. Over 16,000 people have already watched it and shared their thoughts, from all over the world. We read your feedback and your questions we saw enthusiastic developers who asked about a Laptop version and needed advice on how to get started, which we happily answered.  Because we were so happy to...

Kubeflow, the ML toolkit on K8s, now fits on your desktop and edge devices! ? Data science workflows on Kubernetes Kubeflow provides the cloud-native interface between Kubernetes and data science tools: libraries, frameworks, pipelines, and notebooks. > Read more about what is Kubeflow Cloud-native MLOps toolkit gets heavy To make Kubeflow the standard cloud-native tool for MLOps within the AI landscape, the open-source community has accomplished the aggregation and integration of many projects on top of Kubernetes. Unfortunately, this notable accomplishment also has a downside. Deploying Kubeflow on your laptop or edge device has become impractical. The very minimum memory necessary to deploy the full Kubeflow bundle is 12Gb of RAM. On top of that, it is Linux-based. This means that on Windows and macOS you need to allocate 12+ Gb of memory to a Linux VM. Last time I tried, my 16Gb of RAM MacBook Pro did not like the idea. Kubeflow lite to experiment on ...