AI & Machine Learning

Introduction VCF Automation 9.x is easy to misunderstand if your mental model was built around vRealize Automation or Aria Automation. The familiar product lineage is still present, but the platform now exposes two materially different consumption paths. One path preserves the established VM-centric automation model. The other places organizations, projects, vSphere Namespaces, and Supervisor-backed services […]

Introduction Most enterprises would never allow an engineer to download an unknown executable from the internet and place it directly on a production server. Mature software delivery processes use source control, artifact repositories, vulnerability scanning, build records, approvals, version pinning, and rollback procedures because software has a supply chain. AI models have one too. A

Introduction A GPU cluster does not know which product launch is contractually committed, which research experiment can wait until tomorrow, or which inference endpoint supports a revenue-producing application. Kubernetes sees pods, resource requests, labels, and scheduling constraints. The business sees customers, deadlines, budgets, risk, and service commitments. That gap is where many shared GPU platforms

TL;DR The decision to stay on VMware Cloud Foundation or replatform should not be reduced to a licensing reaction, a hypervisor feature comparison, or a vendor preference. It is a private cloud operating-model decision involving workload compatibility, staff capability, migration risk, ecosystem dependencies, automation maturity, lifecycle economics, and future exit complexity. For many enterprises, the

TL;DR Enterprise RAG should not start with a broad chatbot that searches everything. It should start with a narrow, governed use case where the source content is authoritative, access boundaries are clear, users can validate answers, and the workflow benefits from faster time-to-context. The best first RAG projects are usually operational knowledge assistants, support triage

Factories churning out servers for data centres are pushing exports to record levels

Leopold Aschenbrenner thought AI-related stocks would go one way; they went the other. The mistake was funding the trades with debt

New regulations require companies to label chatbots, deepfakes and AI-generated marketing material

Investors say the hedge fund deal reassured jittery traders in tech stocks

Ecommerce giant has roughly 5% stake in AI lab after equity deal