The U.S. AI Action Plan sets ambitious goals: accelerate innovation, modernize infrastructure, and strengthen global leadership. We’re helping organizations implement these priorities. With Nutanix Enterprise AI (NAI) and the Nutanix Cloud Platform (NCP), you can: 🌐 Deploy AI-ready infrastructure that scales from edge to cloud 🌐 Ensure sovereignty and security for sensitive workloads 🌐 Simplify hybrid multicloud operations to focus on innovation See how Nutanix aligns with the U.S. AI Action Plan and helps enterprises prepare for the future of AI 👉 https://ntnx.com/4n9xyKr

How are #neoclouds structurally positioned to outperform #hyperscalers in #AI infrastructure delivery? With enterprises citing pain points with hyperscaler deployments, they are seeking more localized #cloud solutions. ABI Research's latest report from Leo Gergs provides a comparative analysis of scale, ecosystem differentiation, and financial resilience across leading neocloud providers. It also offers deep insight into how neoclouds embed within hyperscaler ecosystems, while enabling sovereign and latency-sensitive enterprise workloads. Key companies mentioned: Civo, CoreWeave, Crusoe, Lambda, Nebius, and Vultr. Download the report today in the comments below!

Never too early for predictions… so here’s mine for 2026: The keyword in enterprise generative AI will be HYBRID. Here’s why: 1. No single cloud, no single model. Customers aren’t standardizing. By default, enterprises need a strategy that adapts to multiple clouds and models as the space evolves. 2. On-prem. More organizations are running workloads locally—not just for control, sovereignty or cost, but to build and fine-tune dedicated models. As enterprises mature, they’re distilling large language models into small, industry-specific ones. That becomes their moat. Cloud is still growing fast, but the future isn’t “all cloud” or “all local.” It’s the messy middle: hybrid architectures, hybrid strategies, hybrid models. That’s where the competitive advantage will live in 2026. Who’s with me on this?

The surge in AI workloads is fundamentally reshaping today’s computing landscape. As demand intensifies, we’re seeing workloads shift and stretch across mainframes, #cloud platforms, on-premise solutions, and #EdgeComputing environments. Very useful analysis from Chris Thomas Ganesh Seetharaman and Diana Kearns-Manolatos (she/her) on how leaders are addressing the challenges of scaling infrastructure in the age of AI. https://delo.tt/6003AgU6N Deloitte Insights

From Scale to Presence Cloud no longer wins by simply getting bigger. The next axis of competitive advantage will be presence density — how close cloud benefits can be delivered to where people and data actually live. As nations and societies around the world pursue their competitive advantage toward the AI era, the real question is no longer about the capacity or efficiency of the cloud — it is about the capacity and efficiency of those nations and societies themselves. This shift gives rise to a new architectural layer in cloud infrastructure — the presence layer. It is composed of distributed Points of Presence (PoPs), positioned closer to where people and data actually live, linked to the cloud core through high-bandwidth, low-latency interconnections. Its role is to extend the reach of cloud benefits into the daily environments of nations, industries, and communities. #Please share this post if you like it.

Proud to share Jabil's latest innovation: the J422-G server, designed for scalable AI and data center performance.  The optimized microarchitecture delivers the perfect balance of efficiency and power. It’s ideal for workload accelerators, cloud scale out, and mature support for the server ecosystem.  Learn more: https://lnkd.in/eED2BTb2

Is your #IT #infrastructure ready for the #AI era? Many businesses have developed cloud strategies prior to the emergence of #GenerativeAI, and these frameworks may no longer be optimal. In this episode of “AI Insights”, John Roese, Dell’s CTO, will share insights on the importance of a strategic rethink of your #infrastructure. This strategy will offer a range of options and predictable costs, with the aim of helping you to achieve tangible business results. 👉 https://del.ly/6042AC3og #DellTechCEEMETA #iWork4Dell #iwork4dell

Is your #IT #infrastructure ready for the #AI era? Many businesses have developed cloud strategies prior to the emergence of #GenerativeAI, and these frameworks may no longer be optimal. In this episode of “AI Insights”, John Roese, Dell’s CTO, will share insights on the importance of a strategic rethink of your #infrastructure. This strategy will offer a range of options and predictable costs, with the aim of helping you to achieve tangible business results. 👉 https://del.ly/6040AgtQ2 #DellTechCEEMETA #iWork4Dell #iwork4dell

Just back from the HPE Accelerate Roadshow today. Two things jumped out: ⚡ How businesses are slowly starting to bring AI into real IT strategies. 💰 How HPE is helping customers cut up to 90% of VM license costs with Private Cloud + Morpheus. Big shifts are happening in how IT leaders manage cost, modernization, and AI adoption. 👉 Curious how this could play out in your environment? Let’s talk. #HPE #AI #Cloud #Soroc

Is your #IT #infrastructure ready for the #AI era? Many businesses have developed cloud strategies prior to the emergence of #GenerativeAI, and these frameworks may no longer be optimal. In this episode of “AI Insights”, John Roese, Dell’s CTO, will share insights on the importance of a strategic rethink of your #infrastructure. This strategy will offer a range of options and predictable costs, with the aim of helping you to achieve tangible business results. 👉 https://del.ly/6041Ai8ID #DellTechCEEMETA #iWork4Dell #iwork4dell