Grace on the currents: Stonking Stingray
When the codename for Ubuntu 26.10 was announced, I suspect there was a measurable surge in users searching for the definition of “stonking” across search engines and the various popular AI chatbots. As it so happens, the rather silly sounding word is actually a bit of British slang that denotes “something of considerable size, or […]
Read the full story on Canonical BlogHave you worked with this?
The story is what was announced. Nobody has discussed it yet, so if it touches your team, a short post about what you’ve seen helps the next reader.
More from Canonical
Recent updates from Canonical, so you can tell whether this is a one-off or part of a pattern.
Creating a private 5G network
As private 5G evolves from experimentation into production readiness, its success hinges on a fundamental architectural shift: replacing heavyweight, legacy virtualization stacks with agile, softwarized infrastructure that reduces operational expenditure (OpEx) and accelerates service delivery.
How a missing kernel flag broke FIPS-certified containers in managed Kubernetes
A customer building a FedRAMP-compliant deployment found that Ubuntu Pro 22.04 FIPS container images were silently failing on standard, mainline Linux kernels, the kind used by managed Kubernetes environments such as AWS EKS and Fargate. The fix required a patch that preserved FIPS compliance without triggering months of recertification. This post explains what happened, why […]
Fine tune your own custom LLM with Canonical Charmed Kubeflow and Feast
So you want your own pet LLM huh? Knowing where to start can be quite tricky, so luckily for you I’ve put together this end-to-end guide. It’ll get you not just started; you’ll end with a fully working chatbot that you’ve fine tuned on the dataset `nampdn-ai/tiny-webtext`, which is a training dataset designed to improve […]
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What other companies in Containers & Kubernetes are doing. The category page shows who’s active, side by side.
Bringing enterprise Linux to the robotics frontier: ROS2 adds Red Hat Enterprise Linux as a tier-1 supported platform
The convergence of enterprise IT and physical computing is accelerating. As artificial intelligence transitions from purely digital environments into autonomous systems, industrial automation, and smart edge devices, the software foundation behind these systems must be as resilient as the physical machines themselves.To power this next generation of intelligent systems, we’re pleased that Red Hat…
Best practices guide for customizing Gemini models via Reinforcement Learning (RL)
Reinforcement learning (RL) has been a keystone of modern LLM post-training, but it demands large training clusters and access to model internals that external customers can't have with proprietary models like Gemini. So here at Google Cloud, we packaged it into a managed RL fine-tuning service (RLFT service), you bring prompts and a reward function; we handle the infrastructure and the…
Breaking the AI productivity paradox: an intelligent migration factory to modernize infrastructure and applications
The rise of generative AI promised a silver bullet, but for most enterprises, especially banks, digital transformation remains a slow, complex, and costly endeavor. Early reports suggested massive developer productivity gains. But when AI is applied to complex enterprise systems, organizations often collide with what we call the AI productivity paradox.According to a Stanford software engineering…
Why your startup needs open models alongside frontier APIs
Every week, I talk with founders who are building at an unbelievable pace. Teams are moving from inception to product-market fit faster than ever, with foundation models wired deeply into their core product workflows. Yet as startup architectures mature, a clear divide has emerged between teams struggling with margins and those scaling sustainably. The most effective engineering teams have…