Mirantis Training Now Covers Both Ends of the AI Stack
Two new AI courses are available from Mirantis Training. One is about building with AI. The other is about building the infrastructure AI runs on.
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More from Mirantis
Recent updates from Mirantis, so you can tell whether this is a one-off or part of a pattern.
AI-INFRA 100: GPU Clusters Break the Datacenter Playbook
AI-INFRA 100: GPU Cluster Infrastructure delivers four standalone modules covering the full AI stack, from architecture vocabulary to zero-touch provisioning.
AI-DEV 100: Build an Agent Before You Have an Opinion About Agents
Our new AI-DEV 100 course takes you hands-on to build an agentic workflow of your own, using best practices gleaned from the front lines of AI application development.
Mirantis Positioned as a Challenger in the 2026 Gartner® Magic Quadrant™ for Container Management
Mirantis has been positioned as a Challenger in the 2026 Gartner® Magic Quadrant™ for Container Management.
More in Containers & Kubernetes
What other companies in Containers & Kubernetes are doing. The category page shows who’s active, side by side.
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.
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…
AI21 achieves an 83% reduction in time-to-start for AI workloads with AI Hypercomputer
Editor’s note : AI21 Labs is a leading global AI lab with a long track record of building foundation models, most notably the Jamba family, and today focuses on specialized LLMs and agent optimization technology. By adopting Google Cloud AI Hypercomputer, AI21 cut high-priority job wait times from 72 hours to 12 and manual scheduling interventions from 20 per week to zero. At AI21 , we build…
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…