Crossplane AI Contribution Policy
The Crossplane project has published an AI Contribution Policy requiring contributors to take full responsibility for AI-assisted submissions, understand every change, and avoid attributing work to ag…
The Crossplane project has published an AI Contribution Policy requiring contributors to take full responsibility for AI-assisted submissions, understand every change, and avoid attributing work to ag…
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 …
Treaty, an open specification proposal, aims to record and query the gap between what development teams request and what platforms actually grant, addressing a critical blind spot in infrastructure pr…
Modelplane, a new open-source control plane for fleet-level AI inference, launched v0.1 to solve the problem of managing inference across hundreds of clusters on any infrastructure. The API separates …
Upbound, the company behind Crossplane, released Modelplane, an open-source control plane that manages fleet-wide coordination for AI inference across clouds, neoclouds, and on-premise data centers. T…
A developer built Modelplane, an open-source inference control plane using Crossplane, to manage GPU fleets across clouds, neoclouds, and on-premise environments. The platform allows platform teams to…
Modelplane, an open-source control plane for AI inference built on Crossplane, is being released to manage GPU clusters as a single inference fleet, handling provisioning, model placement, autoscaling…
Part 2 of a series documenting the setup of a production-mirror Kubernetes lab on a Mac using OrbStack. The author demonstrates how to create a single-node cluster with a single command, which automat…