Running AI Locally, Part 2: From VMware Context to

Virtualization Review berichtet ueber Running AI Locally, Part 2: From VMware Context to. Tom Fenton moves from local AI concepts to hands-on tools for matching LLMs to hardware, running local chatbots with Ollama and benchmarking AI performance. In part 1 of this article, I compared and contrasted what I called Private AI (large-scale, enterprise-grade AI using local enterprise-grade resources) and Local AI (small-scale AI using one or two local machines). I then dove into what is required to run AI on virtual machines.

Das Bild wird durch weitere Entwicklungen schaerfer: ai tools - BingNews: X now offers an MCP server to make its platform easier for AI tools to use: X has launched a hosted MCP server, making it easier for developers to connect AI applications with the company’s API, workflow automation - BingNews: Gartner® Predicts 70% of Payers Will Address Workflow, Data and Service Automation using...: Healthcare payers improve operational efficiency across service and administrative workflows und n8n workflows - BingNews: Best AI Workflow Orchestration Tools for Scaling Enterprises in 2026: Overview: Compare the leading AI workflow orchestration platforms for enterprise deployments, including Temporal, LangGraph, n8n, Microsoft Agent Framewor.

Damit wird das Thema AI, Tools und Prompt konkreter: Aus einzelnen Nachrichten entsteht ein sichtbarer Trend rund um Tools und KI-Agenten. Entscheidend ist jetzt, ob aus den angekuendigten Projekten, Werkzeugen oder Sicherheitsmassnahmen ein praktischer Nutzen entsteht.