A developer published a guide for deploying Kubeflow on Kubernetes as a self-hosted alternative to Azure Machine Learning, covering installation via Kustomize manifests, notebook environments, pipelin…
A developer outlines MLOps best practices for 2026, arguing that while model training has become trivial, deploying reliable, scalable, and compliant models is harder than ever amid agentic AI, the EU…
A developer documented a step-by-step process for installing Kubeflow on Amazon EKS, using eksctl to provision the cluster, VPC, subnets, and a managed node group in a single command. The guide notes …
Microsoft has open-sourced TauGrid, a cloud-native platform for managing, scheduling, and monitoring AI workloads on GPU-enabled Kubernetes clusters, per the company's Azure blog. TauGrid bundles a `t…
The Cloud Native Computing Foundation announced on August 17, 2026 that Kubeflow has graduated to its highest maturity tier, citing a formal security audit, established governance, and production adop…
Nutanix has launched Nutanix Enterprise AI (NAI) 2.8 and announced Nutanix Kubernetes Platform (NKP) 2.19, aiming to let organizations run AI agents and traditional applications on the same infrastruc…
Kubernetes has evolved from a container orchestration platform into a foundational layer for AI infrastructure, according to a blog post from an unnamed source. The platform now supports distributed m…
GPU-pruner, an open source Kubernetes tool, detects idle GPU workloads by querying NVIDIA Data Center GPU Manager metrics through Prometheus and scales the parent resource to zero after a configurable…
A developer has introduced Gubernator, a single-binary container orchestrator written in Go, which can deploy a complete MLOps suite including JupyterLab, MLflow, MinIO, and Ollama in under 60 seconds…
Nutanix announced the general availability of Nutanix Enterprise AI (NAI) 2.8 and the upcoming release of Nutanix Kubernetes Platform (NKP) 2.19, introducing a dual-native architecture that lets organ…
Kubeflow, the open source machine learning platform on Kubernetes, has graduated from the Cloud Native Computing Foundation (CNCF), cementing its role as a mature standard for enterprise AI workloads.…
The Kubeflow project announced technical updates including Kale 2.0, Kubeflow Notebooks v2, and Kubeflow Trainer with Flux Framework integration, as it moves toward graduation from the Cloud Native Co…
CNCF's Daniel Bryant argues that LLMOps should be integrated into existing platform engineering rather than treated as a separate stack, warning that shadow AI pipelines built outside governance pose …
WPP has partnered with Google Cloud to build a unified data backbone and platform engineering path for its agentic marketing system WPP Open, enabling the company to deploy targeted marketing campaign…
Gartner predicts organizations will abandon 60% of AI projects due to inadequate metadata management, data quality, and data observability, prompting experts to advocate for annotating data at collect…
Kubeflow 1.11, released at KubeCon Japan, introduces a pip-installable SDK that lets ML practitioners submit distributed training jobs, run hyperparameter searches, and fine-tune Llama 3.2 without wri…
Canonical launched Managed Kubeflow on Microsoft Azure, a fully managed service that runs within the customer's own cloud tenancy to eliminate the operational overhead of maintaining Kubeflow's distri…
The Open Source Technology Improvement Fund completed a security audit of Kubeflow, auditing six projects in its ecosystem with 14 findings including three critical vulnerabilities. The audit, perform…
By 2026, AI workloads will consume roughly 40% of enterprise Kubernetes clusters, but the default scheduler is ill-suited for GPU-intensive tasks, leading to 30-45% GPU utilization rates and wasted co…
Canonical announced the general availability of Managed Kubeflow on the Microsoft Azure Marketplace, offering a fully managed, production-ready MLOps platform that runs within a customer’s own Azure V…