Two Leaders. One Solution. Modernize faster, strengthen resilience, and prepare your data foundation for hybrid cloud and AI. Hear practical insights from Matthew Hardman and Sumit Marwah on turning infrastructure into a growth engine. Watch now. https://lnkd.in/gWxfb_f7

Two Leaders. One Solution. Modernize faster, strengthen resilience, and prepare your data foundation for hybrid cloud and AI. Hear practical insights from Matthew Hardman and Sumit Marwah on turning infrastructure into a growth engine. Watch now. https://lnkd.in/gWxfb_f7

AI is changing how infrastructure teams work - but speed without recovery creates risk. Gal Hutmann explains why, before AI touches your cloud environment, you need visibility into what changed and a way to restore the last known-good configuration. Link: https://lnkd.in/eNSh7_-t #AIInfrastructure #CloudResilience 

Building effective AI solutions on Google Cloud requires more than powerful models. Organizations need resilient infrastructure, trusted data, and strong governance to scale AI securely and reliably. Explore five key design considerations for AI-ready cloud infrastructure, from data protection and recovery to visibility and multicloud resilience, and learn how to unlock more value from your data while maintaining control. 👉 avpt.co/4c2DIZ9 #GoogleCloud #AI #CloudInfrastructure #AIGovernance #DataManagement #DigitalTransformation

Is your AI strategy stuck in the public cloud? 🚀 Forward-thinking enterprises are starting to bring their AI inference workloads back in-house. Why? It's not just about saving money (though the cost control is massive): it's about performance and security. When you run inference in a private cloud, you’re looking at: 🔹 Ultra-low latency for real-time applications. 🔹 Absolute data sovereignty: your data never leaves your infrastructure. 🔹 Predictable costs that don't scale wildly with every API call. At JamuTech, we specialize in architecting these private inference powerhouses using Kubernetes and high-performance GPU clusters. We help you build the "brains" of your operation on your own terms. Ready to take control of your AI infrastructure? Let’s talk about building a scalable, secure private cloud for your next-gen workloads. #AIInference #PrivateCloud #EnterpriseTech #JamuTech

The message from Google Cloud Next 2026 was clear. AI is moving toward autonomy. That shift makes governance, visibility, and control more important than ever. 👉 Explore the blog: avpt.co/4vobuPR #GoogleCloudNext #AgenticAI #DataGovernance #EnterpriseAI

The message from Google Cloud Next 2026 was clear. AI is moving toward autonomy. That shift makes governance, visibility, and control more important than ever. 👉 Explore the blog: avpt.co/4vobuPR #GoogleCloudNext #AgenticAI #DataGovernance #EnterpriseAI

Tip: Inhousing data is happening, as the cost of cloud goes up every year. Did you know you can inhouse an AI as well with your data?

Tip: Inhousing data is happening, as the cost of cloud goes up every year. Did you know you can inhouse an AI as well with your data?

AI is changing what enterprises need from cloud infrastructure. As AI workloads move into production, IT leaders are making more deliberate decisions about where workloads run, how data is governed and what operating models can support AI at scale. Private cloud is playing a growing role in that strategy. Our latest blog explores how data readiness, workload placement and operational accountability are shaping the next phase of enterprise AI. The conversation is also driving new investments in governed AI infrastructure, including the expanded collaboration between Rackspace Technology and AMD. https://lnkd.in/ek6geKPW