Build Custom Apps on Cisco with OpenAI Codex

[Tech Community] Azure Copilot Observability Agent is generally available, with autonomous operations in preview. Complex cloud environments have outpaced manual operations. Agentic cloud operations connect people, tools, and data to streamline investigation workflows... #azure #techcommunity https://lnkd.in/eweT7YDy

Docker makes local AI easier to run, move, and control. Learn how containers package apps, protect your setup, expose GPUs, and help you build private AI stacks without cloud lock-in. https://lnkd.in/e96fnDyF

The real potential of AI doesn't live on a screen, it’s already doing physical work in the real world. But it takes teamwork to make that possible. OnLogic is proud to be a launch partner for Microsoft’s new small form factor deployment capabilities for Azure Local. When you strip away the boundaries of the datacenter, cloud intelligence can finally thrive in the field. We're excited to be able to help Microsoft bring the power of Azure Local all the way to the edge. Learn more in our article about the partnership: https://lnkd.in/epudtKaj #EdgeComputing #HybridCloud #AzureLocal #PhysicalAI #Innovation

YTL said the NVIDIA Exemplar Cloud initiative is a highly rigorous operational and architectural blueprint designed to reduce the variance and performance degradation often found in public cloud environments. https://lnkd.in/eUiEVxP3

Exciting conversation between Satya Nadella and Jensen Huang this morning during the Microsoft Build 2026 Keynote, both were clearly aligned that AI is shifting from copilots to agents that actually do the work. They highlighted a major inflection point with the push to reinvent the PC using NVIDIA-powered systems that can run advanced models locally, not just in the cloud. Big takeaway: this is not incremental. It is a full platform reset toward agent-driven computing across Windows, Azure, and the entire stack. #MSBUILD2026 #MSBUILD

We are partnering with Microsoft to enable secure, user-controlled #AI on Windows for business and enterprise. NVIDIA #OpenShell runtime for agents will provide governance tools, policy enforcement, and smart local-to-cloud query routing. Learn more: https://bit.ly/4v6hVrg #DeepLearning #Cloud #Developer

Google ships lightweight on-device Gemini Nano for Chrome desktops. What’s happening: multimodal AI runs locally in the browser, not in the cloud. Impact: more private analytics and assistance, offline-capable experiences, and lower latency for everyday tasks, which raises the baseline for how consumer AI should work. Cited link: https://lnkd.in/g8a4xsh

#vLLM can dramatically improve #LLM throughput and GPU utilization. Find out why and how 👇 And remember to chek out the article to learn more 👉🏽 https://lnkd.in/diRZJDQX #cloudification #cloud #ai #gpu #kubernetes #k8s #privatecloud

At Imagine 2026, Automation Anywhere announced EnterpriseClaw, developed in collaboration with Cisco, NVIDIA, Okta, and OpenAI to run claw-style AI agents across cloud, on-premises, and secured enterprise systems. This is what making AI work for the enterprise actually looks like. https://lnkd.in/d2sYrxpm

Cloud market share is not just about better technology. It is about who becomes more embedded inside the enterprise. - AWS won early through developer adoption and first-mover advantage. - Azure scaled because Microsoft was already sitting inside enterprise workflows through Office, Windows, Teams, and security. - Google Cloud is gaining relevance through data, AI, and analytics-led use cases. But the real driver is switching cost. Once a company builds workloads, data pipelines, security layers, and internal teams around one cloud provider, moving away becomes expensive and complex. That is why cloud competition is not just AWS vs Azure vs Google Cloud. It is a battle to become the hardest platform to replace. #CloudComputing #Technology #SaaS #InvestmentBanking