 At Dell Technologies World 2025, one of the standout sessions focused on a rapidly evolving frontier: how modern network fabrics are being reimagined to meet the demands of AI and cloud workloads. With panelists representing leading innovators across enterprise networking, AI infrastructure, and cloud-scale computing, the session offered a rare peek into the architectural choices, operational challenges, and future trajectories of next-gen networking. Here are some of the key insights that emerged from the conversation: AI Workloads Are Reshaping Network FundamentalsAI is no longer just a buzzword — it’s dictating how networks are designed. Traditional Ethernet is still the backbone, but as one speaker put it: “It’s Ethernet, but it’s not.” AI training clusters demand lossless, RDMA-like behavior, forcing networking teams to rethink congestion management, traffic patterns, and throughput optimization. Key Challenge: Achieving high-throughput, low-latency, and lossless performance — all at once. Solution Trends:
The Open Networking Movement, Led by SONiCThe rise of open-source NOS platforms like SONiC is no longer experimental — it’s production-grade. Enterprises like Team Blue, Hudson River Trading, and HotHive are running SONiC at scale to gain flexibility, reduce costs, and break free from traditional vendor lock-in. Why SONiC is Gaining Traction:
But challenges remain. Certain enterprise-grade features (like full VRF support) often lag behind vendor-specific implementations — which is why many organizations still rely on Dell’s enterprise SONiC versions or develop custom SDKs. Automation is the Backbone of ScaleIn the AI era, automation isn’t optional — it’s survival. HotHive shared how they built a multi-million-dollar AMD GPU cluster with 400G networking — all managed through scripts and minimal staff. Their philosophy?
Open source ecosystems like Prometheus, coupled with access to the underlying NOS, allow lean teams to deploy and scale faster than ever. Power & Cooling: The New FrontierWith the surge in high-density compute (thanks to LLM training and inference), power and thermal management is now a first-class design concern. What’s Changing:
It’s Not Just Tech — It’s About TrustOne of the most human themes from the panel: technology decisions are increasingly driven by trust in partners. As one panelist put it, “We chose Dell not because of SONiC, but because we trust them. SONiC was a bonus.” In a world where a misstep in AI infrastructure can cost millions or stall a company’s transformation, vendor partnerships must go beyond hardware — into advisory, joint problem-solving, and long-term confidence. Looking Ahead: CPO, LPO, and 1.6T SwitchingWith 800G becoming mainstream, the next leap — 1.6T switching — is already on the horizon. The panelists agreed this leap is inevitable as data gravity intensifies and AI models become more complex. Emerging Trends to Watch:
The AI and cloud era demands networks that are fast, flexible, open, and intelligent. This session made it clear: the future isn't just about more bandwidth. It's about smarter fabrics, better observability, tighter automation, and — above all — deeper trust between vendors and visionaries.
If your network fabric isn’t evolving, your business might not either.
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Designing the Future: How Dell’s AI Factory and PowerScale Supercharge Scalable AI Productivity5/20/2025  If you're serious about AI and scalability, Dell Technologies is making sure you're not left behind. At Dell Technologies World 2025, I had the chance to sit in on an incredible session titled “Accelerate Productivity Leveraging the Power of AI Factory with PowerScale Storage.” It didn’t just meet my expectations—it redefined how I view scalable AI infrastructure. Here’s a recap of what made this session so powerful. The AI Factory: Infrastructure with IntentDell’s AI Factory is more than marketing buzz—it's a blueprint for delivering production-ready AI. Built using Dell switching and powered by a 400Gbps core fabric with 100Gbps uplinks per node, the environment is engineered for one thing: fast, high-volume AI workloads. This speed is critical when loading large language models (LLMs) across GPUs, and Dell’s architecture ensures that happens with near-zero latency. Whether you're deploying a chatbot, building digital assistants, or scaling to enterprise RAG (retrieval augmented generation) agents, Dell’s AI Factory provides the optimized backbone. PowerScale: Storage That Thinks FastPowerScale storage is the unsung hero of this story. It’s not just fast—it’s smart. In this session, we saw real-world examples where massive data sets, like 100,000+ documents from arXiv, were chunked, embedded, and indexed in seconds using vector databases. Thanks to PowerScale’s integration with container storage interfaces (CSI), that data could then be quickly retrieved—5% faster than comparable block storage options and with much lower latency. For AI workflows where every millisecond counts (think: healthcare diagnostics or real-time surveillance), that performance edge is everything. Agentic AI Use Cases: Plug, Play, Deploy The energy at Dell Technologies World 2025 was electric—fitting, considering the opening keynote made one thing unmistakably clear: AI is now the world’s most powerful utility. Dell is not just embracing the AI revolution—they’re enabling it, scaling it, and humanizing it. Held at what Dell calls “Dell Technologies Way”, the keynote welcomed us into a vision of interconnected innovation, where data becomes action and AI becomes accessible to all. Key Themes From the KeynoteAI at the Edge: Real-Time Intelligence, AnywhereDell emphasized that 75% of enterprise data will soon be created and processed outside traditional data centers. This shift makes edge computing—real-time processing at or near the source--essential for delivering low-latency, high-impact AI insights. From smart cities to retail floors, Dell’s rugged servers and edge-optimized AI PCs are transforming how decisions are made. Lowe’s, for example, is deploying AI-infused micro data centers inside stores to power computer vision and real-time customer assistance. The edge isn’t a buzzword anymore—it’s where AI lives and breathes. AI Factories: Industrial Intelligence at Unthinkable ScaleDell showcased jaw-dropping specs of its largest AI infrastructure projects:
These systems generate tens of trillions of tokens per month, running the world’s most advanced LLMs. Future systems are already being designed to scale to 1 million GPUs. But what makes this relevant? Dell is funneling innovations from these large-scale builds into manageable, modular platforms for everyone—from startups to federal agencies. You may not need a “Colossus,” but you will benefit from its lessons. Enterprise AI in the Real World: JPMorgan Chase & Lowe’sJPMorgan Chase with 44,000 engineers, 6,000 applications, and a tech budget of $18 billion, JPMorgan is investing heavily in a constellation of foundational and open LLMs. Their strategy includes:
They’re not just using AI—they’re rearchitecting for it, with Dell as a key partner in both their private cloud and data center evolution. Lowe’s as undergone a remarkable transformation over the last seven years. CIO Seemantini Godbole shared how the company:
Their strategy? Use AI not to replace—but to augment human expertise at scale. The Dell AI Factory 2.0 – Powered by NVIDIA Artificial Intelligence (AI) has reshaped how we interact with technology, and laptops are at the forefront of this transformation. AI laptops are no longer just computing tools but intelligent companions that adapt to user needs, optimize performance, and enhance productivity. From extended battery life to real-time language translation, AI is redefining the laptop experience. Here’s an in-depth look at how AI laptops are revolutionizing the way we work, create, and connect. What Are AI Laptops?At the heart of AI laptops lies the Neural Processing Unit (NPU)—a specialized processor designed to accelerate AI and machine learning tasks. Unlike traditional laptops, AI laptops integrate NPUs alongside powerful CPUs and GPUs, enabling them to efficiently handle complex workloads such as generative AI applications, neural network processing, and multimedia data analysis. These devices are not only faster but also more energy-efficient, making them ideal for professionals, gamers, and creatives. Key Features That Set AI Laptops Apart
Transformative Applications of AI in Laptops
The Future of AI LaptopsThe integration of AI in laptops is just beginning. Future advancements promise:
Should You Transition to an AI Laptop?With companies like Dell, Lenovo, HP, and Apple leading the charge, AI laptops are quickly becoming the standard. Their ability to optimize productivity, enhance creativity, and adapt to user needs makes them a worthwhile investment for professionals, students, and creatives. As AI capabilities expand, these laptops will not only meet current demands but also anticipate future ones, ensuring they remain indispensable tools in our digital lives. Final ThoughtsAI laptops symbolize the future of computing, merging cutting-edge technology with intuitive design. Whether you're a creative professional, a gamer, or someone looking to enhance productivity, AI-powered laptops deliver unmatched performance and user experience. By embracing these advancements, we step into a smarter, more connected world where technology becomes an effortless extension of our capabilities.
 As enterprises continue to embrace hybrid and multi-cloud strategies, VMware's partnerships with leading cloud providers have opened the door for seamless workload migrations and modernized IT infrastructures. Two prominent VMware-based cloud solutions available today are Azure VMware Solution (AVS) and Google Cloud VMware Engine (GCVE). Both platforms offer robust VMware environments hosted natively in their respective clouds, but key differences in capabilities, pricing, and integration make each suitable for different scenarios. Let's explore and compare these two powerful VMware cloud services. Overview of Azure VMware Solution (AVS)Azure VMware Solution (AVS) is a fully managed VMware environment directly integrated into the Microsoft Azure ecosystem. It enables organizations to extend or migrate their existing VMware workloads to Azure with minimal re-architecture. Key Features:
Overview of Google Cloud VMware Engine (GCVE)Google Cloud VMware Engine (GCVE) provides a native VMware experience within Google Cloud. It offers a private cloud infrastructure fully managed by Google, enabling businesses to migrate VMware workloads without refactoring. Key Features:
Key Comparisons: Azure VMware Solution vs. Google Cloud VMware Engine Choosing the Right VMware Cloud for Your BusinessWhen to Choose Azure VMware Solution:
Both Azure VMware Solution and Google Cloud VMware Engine offer compelling capabilities for VMware workloads in the cloud. The best choice depends on your existing cloud investments, integration needs, and specific workload requirements. Azure provides deeper integration with Microsoft services, while Google Cloud shines with its analytics and AI capabilities. References: As more of my customers embrace the transformative potential of artificial intelligence, the demand for robust, secure, and scalable AI infrastructure has surged. Nutanix has taken a pivotal role in addressing these needs with its GPT-in-a-Box 2.0 solution, an enterprise-ready, full-stack AI platform tailored for organizations that require secure, on-premises AI deployments. This offering streamlines AI adoption by providing a comprehensive ecosystem, optimized infrastructure, and extensive partner support, allowing businesses to deploy and manage AI applications at scale. Simplified AI Deployment with GPT-in-a-BoxNutanix’s GPT-in-a-Box simplifies the deployment, operation, and scaling of AI workloads. With its 2.0 iteration, the solution includes an integrated inference endpoint and end-to-end features, such as GPU and CPU certification, high-performance storage, Kubernetes management, and in-depth telemetry. This design allows organizations to leverage generative AI (GenAI) models like LLMs on-premises, providing control over data security and operational flexibility. GPT-in-a-Box is particularly beneficial for industries with stringent data regulations, such as government and finance, where public cloud alternatives may not meet compliance requirements. By extending Nutanix’s hybrid infrastructure strengths to AI, organizations can now manage AI applications with the same control and resilience they expect from their existing IT environments. Key Use Cases Across Major IndustriesAI use cases differ widely across industries, and GPT-in-a-Box has been designed to support the unique needs of various sectors, including:
Building a Comprehensive AI Ecosystem: Nutanix AI Partner ProgramTo further simplify AI adoption, Nutanix launched its AI Partner Program. Collaborating with industry leaders such as DataRobot, Codeium, Pryon, and AccuKnox, Nutanix offers pre-validated solutions that span generative AI applications, MLOps, compute infrastructure and consulting. This diverse ecosystem allows customers to deploy enterprise AI use cases, including document search, code generation, model monitoring, and enhanced security, with minimal integration effort. Some key partner contributions include:
Technology Underpinnings: The Architecture of GPT-in-a-Box 2.0 In the rapidly evolving world of virtualization, Broadcom’s decision to reintroduce VMware vSphere Standard and Enterprise Plus licenses is making waves across the IT industry. As part of Broadcom’s strategy to address customer feedback, these updates aim to simplify VMware’s licensing options while enhancing value. Starting in November 2024, these changes bring expanded storage capacities, flexible licensing terms, and a renewed focus on meeting diverse customer needs. Here’s what it means for businesses navigating the virtualization landscape. What's New 1. Reintroduction of vSphere Standard and Enterprise Plus After a year of consolidation following Broadcom’s acquisition of VMware, the company has reinstated two licensing options that were removed during its initial portfolio overhaul:
2. 2.5x Increase in vSAN Storage Capacity Broadcom has enhanced VMware vSphere Foundation (VVF) by increasing its vSAN capacity to 250 GiB per core, up from 100 GiB. This significant boost lowers the barrier to adopting VMware’s hyperconverged infrastructure (HCI) solutions, making them more cost-effective for businesses. Prashanth Shenoy, Broadcom’s VP of Cloud Platforms, described this update as a move that “truly makes it an enterprise-class HCI platform.” This expanded storage capacity will benefit organizations transitioning to software-defined storage or running demanding virtualized workloads. 3. Flexible Licensing and Pricing Options
Broadcom is offering subscription-based licensing with flexible terms, payment plans, and pricing structures. This adjustment demonstrates Broadcom’s responsiveness to customer feedback about affordability and aligns with businesses’ fiscal planning needs.  As my customers continue to embrace hybrid cloud environments, the need for efficient and flexible cloud management solutions becomes more critical. VMware Cloud Foundation (VCF) 5.2 introduces several enhancements designed to address these needs, focusing on improving lifecycle management, scalability, security, and flexibility. Let's dive into the key features and updates in VCF 5.2 and see how they can benefit your cloud strategy. Seamlessly Transition to Cloud FoundationOne of the standout features of VCF 5.2 is the ability to import existing vSphere infrastructure into Cloud Foundation. This capability extends the SDDC Manager's inventory and lifecycle management to your current infrastructure, making the transition smoother and less disruptive. There are two primary use cases: 
Flexible Edge Architectures for Diverse Needs VCF 5.2 offers a range of edge architecture options to cater to various deployment scenarios:
Enhanced Lifecycle Management In the current landscape shaped by Broadcom's influence on VMware's trajectory, organizations considering staying with VMware might find it prudent to explore transitioning to a hybrid cloud setup. Opting for the right infrastructure becomes paramount to ensure optimal performance and scalability. Among the offerings in the revamped portfolio, VMware Cloud Foundation (VCF) emerges as a favored option, thanks to its robust software-defined data center (SDDC) capabilities. Amid Broadcom's streamlined portfolio, featuring VMware vSphere Foundation and VMware Cloud Foundation, loyal VMware customers have a compelling incentive to opt for a dedicated solution. Combining VCF with Dell VxRail presents an attractive proposition. Not only is VxRail custom-built for VCF, but it also offers the flexibility to integrate third-party storage alongside VMware vSAN. This is important for customers who have investments that are already made in existing external storage systems or have a use case in which external storage systems are required. This combination sets itself apart with its seamless integration, streamlined management, and enhanced performance. Consequently, deploying VMware Cloud Foundation on Dell VxRail emerges as the prime selection. Tailored Integration and OptimizationDell VxRail is specifically designed with VMware environments in mind, which makes it an ideal platform for VMware Cloud Foundation. The integration goes beyond general compatibility; Dell VxRail comes pre-configured with VMware vSAN and is fully optimized for VMware environments. This deep integration allows businesses to leverage a hyper-converged infrastructure that simplifies and streamlines deployment, management, and scaling of VMware-based applications. Simplified Deployment and ManagementOne of the standout features of running VCF on VxRail is the simplified deployment process. VxRail Manager, along with VMware SDDC Manager, provides a unified management experience that automates the deployment and configuration of VMware components. This integration reduces the complexity typically associated with setting up a hybrid cloud environment, enabling IT teams to focus more on strategic operations rather than routine setups. Scalability and FlexibilityScalability is a critical consideration for organizations aiming to thrive in a dynamic market. VxRail presents a scalable architecture that evolves alongside your business requirements. Whether expanding vertically or horizontally, VxRail offers the flexibility to incorporate additional nodes or integrate new technologies seamlessly, preserving ongoing operations. This adaptability empowers organizations to extend their VMware Cloud Foundation environment in a cost-effective and efficient manner. Additionally, as part of scalability, customers can seamlessly extend to hybrid cloud offerings by VMware such as VMware Cloud on AWS or the Azure VMware Solution, further enhancing flexibility and agility. Enhanced Performance and ReliabilityRunning VCF on Dell VxRail brings the advantage of optimized performance. VxRail nodes are equipped with high-performance processors and memory options, tailored for data-intensive applications that are typical in VMware environments. Moreover, Dell’s proactive support and single-point-of-contact service significantly enhance the reliability of the infrastructure, ensuring high availability and minimal downtime. Streamlined Support and ServicesChoosing Dell VxRail for running VMware Cloud Foundation simplifies the support process. Since Dell and VMware are closely partnered, VxRail comes with integrated support for both hardware and software components. This means quicker resolution of issues and less downtime, which is crucial for maintaining continuous business operations. The cohesive support structure is a significant advantage for IT departments that manage complex environments. Final ThoughtsFor businesses leveraging VMware Cloud Foundation, Dell VxRail serves as a synergistic platform that enhances VCF's capabilities through superior integration, simplified management, scalability, optimized performance, and streamlined support. This amalgamation not only boosts the efficiency of VMware deployments but also provides a resilient infrastructure supporting business growth and technological advancement. Moreover, with Broadcom's streamlined portfolio featuring VCF, customers committed to VMware environments find compelling reasons to opt for this integration. Dell VxRail's compatibility with third-party storage solutions alongside VMware vSAN offers unparalleled flexibility, making it an ideal choice for enterprises seeking to optimize their hybrid cloud strategy while retaining the ability to tailor their storage requirements. Alongside these benefits, incorporating cloud offerings such as VMware Cloud on AWS or the Azure VMware Solution enhances scalability and agility, enabling organizations to seamlessly extend their VMware environment to the cloud. For organizations seeking to maximize their VMware infrastructure, running VMware Cloud Foundation on Dell VxRail presents a strategic and operationally advantageous choice, offering substantial benefits for both current and future needs. References As a seasoned professional deeply entrenched in the world of virtualization, I've witnessed firsthand the recent shifts that have sent shockwaves through the industry. From the unprecedented Broadcom licensing changes to the evolving dynamics of cloud migration, the landscape is evolving at a rapid pace, leaving many businesses scrambling to adapt. But amidst this uncertainty, one thing remains clear: a knee-jerk reaction to switch hypervisors isn't the silver bullet solution. Instead, what's needed is a comprehensive hybrid cloud strategy that not only addresses immediate challenges but also sets the stage for long-term success. Let's dissect this further.The recent Broadcom licensing changes have left many customers reeling from unexpected cost increases. While the allure of public cloud services may seem enticing, the reality is that self-managed infrastructure often proves to be more cost-effective, especially for those with existing resources and expertise. This is where a well-crafted hybrid cloud strategy becomes invaluable. Rather than simply swapping out hypervisors in pursuit of short-term savings, I advocate for a more holistic approach. Let's delve into a refined approach that considers your unique needs and goals.
"The Cloud Management Platform (CMP) approach is a versatile solution."It's crucial to collaborate with a reliable solutions provider who comprehends the complexities of the cloud terrain and can assist you in developing a customized cloud strategy tailored to your business goals. Whether you're contemplating a multi-cloud strategy, integrating cloud-native tools, investigating hybrid cloud management platforms, or utilizing CMPs, their team of professionals should adeptly lead you through the process.
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