Run Private AI Agents in Minutes with LLMWare.ai

Local AI is easier to initialize than you think. Here’s my exact setup: 1️⃣ Used Unsloth to spin up a Gemma model locally. 2️⃣ Integrated it directly into Qwen Code. Result? Zero cloud costs, total privacy, and a frictionless dev experience. If you want to start experimenting with local LLMs, this stack removes the setup friction. Just run it. What local models are you testing right now? 👇 #LocalAI #Unsloth #OpenSourceAI

Google Cloud's Open Knowledge Format is an open, vendor-neutral way to package the context AI systems need, as plain markdown files any model or agent can read: https://lnkd.in/gCDdrJhQ

Recommend reading Google Cloud’s new Data Agents Guidebook. It details the shift from reactive intelligence to proactive action. By giving organisations a unified foundation to run autonomous AI workflows right where their data sits, we are unlocking massive enterprise-grade efficiency at scale. Read it here → https://lnkd.in/gaCtYrpB #Google #GoogleCloud #Data #Agent

💻 Nativ lets you run frontier open models locally on Mac - privacy-focused inference with no cloud dependency. https://lnkd.in/dR6xZ5ty --- 📧 Enjoying this? Subscribe to my daily AI newsletter — email julio.rodriguezmartino@gmail.com with subject: SUBSCRIBE TO AI NEWS

America’s AI Action Plan calls for U.S. government agencies to quickly ramp up AI deployment. A private cloud platform powered by VMware Cloud Foundation (VCF) offers an efficient, secure path forward. VCF makes AI a core feature of the private cloud, bringing advanced language models directly to secure agency data. Lewis Shepherd explains more about how agencies can use their existing VMware infrastructure to meet these federal AI goals cost-effectively. #vExpert https://dy.si/MPbnd

How do you deploy enterprise-ready AI agents while keeping your cloud environment locked down? Find out on 16 July at our London Q3 Techie Meetup with Google Cloud! Go Reply and Spike Reply UK are teaming up to show you how: 🔹 Go Reply: Utilise secure prebuilt agents and build custom AI agents to automate data pipelines, with a hands-on demo. 🔹 Spike Reply: Secure workflows using Wiz to map and prioritise real attack paths via a live GCP misconfiguration scenario. Register via the link in the comments! #GoogleCloud #GoReply #SpikeReply #AIAgents #CloudSecurity

If you launch AI efforts without data engineers, you’re more likely to face scalability and data quality challenges. See why you should explore the #DataGovernance tools your cloud provider offers. https://dy.si/RfEZVA2

Google just released their Qtr 2 results... Some highlights on the Google Cloud/Gemini AI front: 1) Gemini Users likely to exceed 1 Billion monthly users in the next quarter. 2) Quarterly difference in Token usage per minute is up from 16B last quarter to 22B this quarter (Increase of 37.5% in 1 quarter) 3) 90% of the Fortune 100 are using Gemini Enterprise! Are you looking for guidance on your AI Future-proofing? Let's have a chat... #argentedge #geminienterprise #googleworkspace #aifutureproof

Architecture Doc must read!!https://lnkd.in/e73r3cfU 🔥 Networking for AI inference model serving on all backends (Private Service connect inference endpoints, regional internal ALB, Service extensions, Cloud Run, Apigee, Model Armor) ✅ All backends - https://lnkd.in/e73r3cfU GKE version 🔵 https://lnkd.in/enncgCuZ #kubernetes #gke #ai #inferencing #googlecloud #google #cloud https://google.smh.re/5ZjH

At Google Cloud Next 2026, one theme stood out: AI is becoming agentic. As AI gains more autonomy, strong governance and data control become even more critical. 👉 Read more: avpt.co/4vobuPR #GoogleCloudNext #AgenticAI #DataGovernance #EnterpriseAI