This blog looks at mobile network operators (MNOs), virtual operators (MVNOs), internet service providers (ISPs) and other SPs across the world.

Discord's machine learning systems have evolved significantly, overcoming scaling challenges with distributed computing.

Learn how Red Hat OpenShift AI 3 enhances the controlled network environment for Ray Clusters, providing a production-ready environment for complex AI workloads with robust security. Discover the 3 pi...

CLOUD & INFRASTRUCTURE · EXPLAINER Microsoft TauGrid Explained: How It Manages AI Workloads on Kubernetes TauGrid is Microsoft’s open-source, self-hosted workload layer for AI on Kubernetes. It combines a single CLI with Kueue, KubeRay, GPU health monitoring and experiment evidence so platform teams can standardize how training, fine-tuning and inference jobs move through a shared cluster. Published September 17, 2026 · Research-based explainer · About 12 minutes…

Densify is a predictive analytics engine that removes the guesswork from optimizing cloud and container environments.

What Happened Multiple vendor and cloud announcements during 2026 tightened the integration between AI software stacks, cloud managed services, and purpose-built hardware for agentic and large‑context inference workloads: AWS integrated…

Learn how Red Hat OpenShift AI 3 enhances the controlled network environment for Ray Clusters, providing a production-ready environment for complex AI workloads with robust security. Discover the 3 pillars of the controlled network environment: network isolation, authenticated backend (mTLS), and controlled access.

Four Signals — The Wire

Microsoft's AKS engineering team open-sourced TauGrid on August 28, 2026, packaging the tau CLI, Kueue queueing, KubeRay orchestration, GPU node health monitoring and observability into one Helm install. It is MIT licensed and deployable now on any Kubernetes 1.30+ cluster with GPU nodes, kubectl and Helm 3.0 or later. The post Microsoft Open-Sources TauGrid: A Kubernetes-Native Stack for GPU AI Workloads appeared first on MarkTechPost.

Amazon SageMaker HyperPod now offers managed Ray support on Amazon EKS. Create and monitor Ray clusters, connect JupyterLab and Code Editor notebooks to live clusters, get out-of-the-box observability, and run resilient distributed training and accelerated inference from SageMaker Studio, all with open-source KubeRay and standard Ray APIs.

Amazon SageMaker HyperPod now offers managed Ray support on Amazon EKS. Create and monitor Ray clusters, connect JupyterLab and Code Editor notebooks to live clusters, get out-of-the-box observability, and run resilient distributed training and accelerated inference from SageMaker Studio, all with open-source KubeRay and standard Ray APIs.

Amazon SageMaker HyperPod now offers managed Ray support on Amazon EKS. Create and monitor Ray clusters, connect JupyterLab and Code Editor notebooks to live clusters, get out-of-the-box observability, and run resilient distributed training and accelerated inference from SageMaker Studio, all with open-source KubeRay and standard Ray APIs.

Amazon SageMaker HyperPod now offers managed Ray support on Amazon EKS. Create and monitor Ray clusters, connect JupyterLab and Code Editor notebooks to live clusters, get out-of-the-box observability, and run resilient distributed training and accelerated inference from SageMaker Studio, all with open-source KubeRay and standard Ray APIs.

Densify is a predictive analytics engine that removes the guesswork from optimizing cloud and container environments.