SiliconANGLE & theCUBE

Exploring 3 crucial networking dimensions in AI factory infrastructures 🤖 In this #BreakingAnalysis exclusive, #theCUBE’s David Vellante is joined by fellow analysts, Scott Hebner, Bob Laliberte, David Floyer and Paul Nashawaty, to discuss networking as a critical piece of the modern tech stack and three dimensions of how AI factories are scaling. “It’s hard to talk about AI factories without networking, especially when you look at different dimensions as to how these AI factories are scaling. The talks so far have been about scale up, scale out, and scale across. Scale up is what happens inside that single server or chassis. It's all about that raw GPU performance and ultra low latency. Nvidia's NVLink, NVSwitch and maybe PCIe Gen 6 are looking to connect the GPUs directly to each other to create the high bandwidth fabric that keeps the data moving fast for these large model training,” Laliberte shares. “Scale out networking is about expanding beyond that single server chassis, interconnecting hundreds of thousands of GPU nodes within a data center. Vendors like Cisco, Arista, HPE, Juniper and Nvidia have built out their AI optimized fabrics. This layer delivers that east-west bandwidth that keeps the AI clusters efficient and synchronized. The scale across networking is what's going to connect multiple AI data centers or in regions into that one unified fabric, creating that fully distributed AI environment,” he adds. 📰 Get more insights! https://lnkd.in/dxhgxSej #ScaleUp #ScaleOut #Networking #AIFactories #DataCenters

Dive into the Dell AI Data Platform Event and turn raw data into pure intelligence! See how Dell and NVIDIA are shaking up the AI pipeline with real-time search, cutting-edge data engines, and rock-solid security. Fuel your AI with PowerScale, ObjectScale, and game-changing innovations. Don’t just watch the AI revolution—be the one leading it!

How Capgemini bridges the skills gap with Kong Inc. & APIs  ⚒️ Tune into this #KongAPISummit exclusive, where #theCUBEresearch’s Paul Nashawaty speaks with Rishi Singh, Vice President & Head of Cloud and Custom Applications Practice, North Americas at Capgemini, about their approach to enabling clients to streamline their agentic workflows with Kong. “All of these standards, whether you call it MCP or A2A, are important. These are the basis of the whole agentic AI. I believe that the MCP protocol itself, while it is open source and there's a lot of traction in terms of how you can use it, it's not production there yet. There are a lot of security gaps or vulnerabilities around this. That's where all of our clients are trying to see how they can make use of these agentic workflows,” Singh shares. “The MCP or A2A protocol are still there, and there will be a lot more specifications coming for data privacy, which will evolve over a period of time. But to build all of this, I think all you need is the underlying part of all of this is APIs. That's where I would say in order to get to an agentic AI, you certainly need a very well-formed and well-defined API layer,” he adds. 💡 Get more insights: https://lnkd.in/gZFB6SmT #AgenticWorkflow #MCPprotocol #A2A #EnterpriseAI

Agent operations, or AgentOps, could be the missing link between developing artificial intelligence tools and actually delivering value on them 🔗 An MIT study suggesting 95% of AI projects have failed has prompted the question: How can companies generate value from AI before the bubble pops? Don't miss #theCUBE's exclusive coverage of the "Agentic AI Unleashed" event on Nov. 12. We'll talk with industry experts about the potential of AgentOps – the emerging discipline of AI agents managing other AI agents – and how it could redefine digital and IT operations for the enterprise.. “Over the past two years, most companies have experimented with AI pilots and proofs of concept,” said Zeus Kerravala, founder and principal analyst at ZK Research. “Often used in isolated use cases such as chatbots, anomaly detection or knowledge assistance. However, the challenge now isn’t about proving AI can work. We know it can. It’s about making AI operational, scalable and integrated across the enterprise.” 👉🏻 Check out theCUBE's full insights: https://lnkd.in/dXJVkuwS Shailesh Manjrekar Fabrix.ai Paul Nashawaty

How Google Cloud & Tiger Analytics enable businesses to unlock the full potential of Agentspace 🦾 Tune into this “Google Cloud Partner AI Series” exclusive, where #theCUBE’s host Rebecca M. Knight engages in a one-on-one discussion with Iliana Quinonez, Director, North America Startups, Customer Engineering at Google Cloud, & Rajeev Nayar, Vice President, Data & AI at Tiger Analytics, about how the new Agentspace enables businesses to create their own agents and create value. “We worked together with Google in helping an appliance manufacturer adopt Agentspace. They wanted to move towards an agentic model for their business, so we bought into this idea of Agentspace. We are working with them to create about 30 to 60 agents. Many of them are being created by the customer themselves. There are about 6 or 8 of them that are business critical that Tiger is owning up to build,” Nayar shares. “When you start with building out agents, you find other problems in your data that you have to solve to get value. That's where the whole reduction in these defective appliances comes in, where we are trying to reduce it from $160 million to $40 million. This is another thing because agentic solutions are not about automation only. You start rethinking your business processes differently and more efficiently to create business value,” he adds. 💡 Get more insights! https://lnkd.in/d9KvB-2U #AIAgents #Agentspace #BusinessValue #EnterpriseAI

Kubernetes keeps leveling up – and Google Kubernetes Engine is marking 10 years of running production-grade Kubernetes at scale 🎉 Kubernetes keeps evolving – and so does the community driving it. At KubeCon + CloudNativeCon NA in Atlanta, #theCUBE will be on the ground Nov. 11-12 for exclusive live coverage. We’ll bring insights from leaders at Google, which is joining as a premier sponsor to support open-source growth, sustainability and secure-by-design practices across CNCF projects – and to celebrate a decade of GKE. #theCUBE’s Savannah Peterson and Rob Strechay will be live on set speaking with Google Cloud engineering leaders Tim Hockin, Brandon Royal, Mofi Rahman and Leon Bouwmeester, CNCF maintainers and end users running Kubernetes in production to unpack what’s next for Kubernetes in the real world. 📅 We’re broadcasting onsite in Atlanta Nov. 11-12. Save the date and follow the full event lineup here so you don’t miss the conversations: https://lnkd.in/dzy4Ffdc #KubeConNA #EnterpriseSustainability #Kubernetes #GKETurns10

How to be successful with your agentic movement? 🤖 Join #theCUBE at #Dreamforce2025, where our hosts John Furrier and Christophe Bertrand sit down with Nancy Xu, VP of Agentforce at Salesforce, to discuss how customers must have predictability and control over agents to make them trustworthy for enterprise use cases. “Not all agents are created equal. I think what we see now is that the word agent is quite overloaded. There's a spectrum of agents in terms of how simple the task they can handle all the way to complex workflows. What we found is that for customers to be successful, they don't just need the core LLM capabilities that make your agent powerful and adaptive, but you also need to have predictability and control for your agents to be trustworthy at enterprise scale,” Xu shares. “I'll give the 1-800Accoutant as an example. You need to be able to handle hundreds of thousands, millions of inquiries predictably every single time according to your business processes. We're seeing that this is a big unlock for companies that can do this. It's why we introduced Agent Script this year at Dreamforce. Agent Script is a brand new scripting language that we built that enables our customers to have those predictable agents,” she adds. 💡 Get more insights! https://lnkd.in/gNwJXKf5 #AgenticMovement #LLM #Agentforce #EnterpriseAI

Exploring the use cases of RTX Pro 6000 Blackwell Server Edition across industries ✨ Join #theCUBEresearch’s Rob Strechay at the exclusive launch of “RTX Pro 6000 Blackwell Server Edition,” as he speaks with Varun Chhabra, SVP, ISG Product Marketing at Dell Technologies, & Jason Schroedl, Director Product Marketing, Enterprise Platforms at NVIDIA, about how different industries are leveraging their new server. “AI is a secular movement across industries and geographies. There are horizontal use cases that apply to many different industries, but then there's also a lot of innovation happening at the vertical layer. The use cases and industries that pop up the most include modernization with manufacturing, using things like vision systems and being able to do fault detection early. Healthcare, enhancing patient care, faster diagnostics, better post-procedure care, more focused on personalized medication and care,” Chhabra shares. “Supply chain, financial services, and energy, oil and gas use cases are all big ones. Now, we're seeing more and more of that blend of AI and HPC being brought to the analytics of organizations in the energy space too. The public sector and government is a big, big area where there's so much focus on efficiency and better citizen services. The sky is the limit across all of these industries,” he adds. 📺 Get more insights! https://lnkd.in/dYXbkvfA #AI #BlackwellServer #EnterpriseAI

AI is evolving fast – but at Celosphere 25, it’s process intelligence that’s stealing the spotlight ⚡️ #theCUBE will be live on-site to explore how Celonis is putting process intelligence at the heart of AI success. This year’s theme – “No AI without PI” – says it all. From digital twins of the enterprise to green-line innovation, discover how organizations are driving real transformation – faster, smarter and more sustainably. 📖 More from theCUBE: https://lnkd.in/dvyFvh9R “At Celosphere, it’s not just about visibility, but about action,” said theCUBE’s Rob Strechay. “The Celonis ecosystem shows how process intelligence can drive outcomes across an organization, connecting strategy to real-time execution. That’s the kind of transformation every digital business leader should be watching.” Expect insights from global leaders on: ✅ Turning AI prototypes into production-ready solutions ✅ Achieving measurable ROI through process harmony ✅ Building more accountable and scalable AI As theCUBE’s analysts put it, “Process mining is having its moment.” Stay tuned for full Celosphere 25 coverage – where AI meets its foundation in process intelligence.

How Sickbay enhances patient care with real-time data access 🏥 In this Hewlett Packard Enterprise #UnleashAI exclusive, #theCUBE’s host Paul Gillin sits down with Raajen Patel, EVP of innovation, Sickbay, at Medical Informatics Corp., to discuss how their technology enhances the quality of patient care by providing real-time access to unavailable data streams. “The first thing that we're doing is, this is a dataset or a data stream that's previously unavailable at scale. The first benefit is to be able to show this data immediately, not just to the clinician, but to the care team in charge of that patient. Maybe a specialist is at home or off-site, and they can take a look at it, those kinds of things. It is just being able to surface this new data to folks in a way they can immediately act upon,” Patel shares. “The next benefit is that over time, with respect to we're seeing all these patients that have a particular physiology, or these particular types of patients in a geographic area, you can start looking into whether your policy and practice reflect the best care that you can provide. How you can improve patient care immediately with less operational burden. And the next is how you can improve your practices over time so that more patients can be seen and cared for with better outcomes,” he adds. 💡 Get more insights! https://lnkd.in/ertdHyjQ #ClinicalCare #PatientCare #AIinHealth #DataStreams