en.Wedoany.com Reported - Dell Technologies Inc. announced at its annual conference in Las Vegas that its AI factory customers added 1,000 new clients in a single quarter, bringing the total to over 5,000. This data indicates that enterprise-level AI application deployment is accelerating, and existing platform architectures urgently need upgrades and iterations.
Dell founder and CEO Michael Dell emphasized in his keynote that data querying and orchestration have become priorities in the world of agentic AI, and future business success will depend on developing and managing the infrastructure that supports these functions. Dell stated that from Dell, Dell EMC, to Dell Technologies Group, the company has deeply cultivated the data field for decades. Now, all data is activated, and the company offers a complete infrastructure solution covering the rack level, including various models, cutting-edge models, open models, and specialized models, deployed in client devices, factories, retail stores, hospitals, and laboratories.
Multiple announcements from Dell this month clearly point toward hybrid architecture support. Dell's collaborations with Advanced Micro Devices Inc. (AMD) and Nvidia Corp. aim not only to provide local processing capabilities but also to cover edge environments—where AI use cases are expected to grow. Melissa Crichton, Vice President of Dell's Server and AI Solutions, stated that the company must build a hybrid platform for customers, whether it runs at the edge, core, or hyperscale data center. This is the construction philosophy of the AI factory: creating an enterprise-scalable model for customers, starting small, gradually expanding to the largest models, and establishing orchestration and abstraction layers to move workloads to the most suitable locations.
Dell has also enhanced its AI factory products in collaboration with Nvidia through a new solution that integrates Dell workstations with Nvidia's NemoClaw, running AI agents locally beyond cloud infrastructure. John Roese, Dell's Global Chief Technology Officer and Chief AI Officer, pointed out that enterprise adoption of agents requires smarter use of hybrid architectures. He noted that fully autonomous AI systems—the idea of shifting work to the machine layer—have become a reality, and the term "tokennomics" has entered daily vocabulary because the cost differences between different models vary greatly at scale. Intelligently using hybrid infrastructure to place the right workloads in the right positions with the right models is not just a bonus but a necessity.
Another key theme at Dell Technologies World is that enterprises must become AI-native. Jeff Clarke, Dell's Chief Operating Officer and Vice Chairman, stated that this means building an operational model where intelligence permeates every workflow and decision. He explained that everyone needs to become an AI-native company—not in the sense of being "born in the AI era," but being able to implement that operational model, harness intelligent utility, and apply it everywhere. Those who master this approach will gain an advantage and win in their respective markets. Arthur Lewis, President of Dell's Infrastructure Solutions Group, added that some customers, without considering process remapping, simply overlay AI on top of current processes, achieving a 10% to 20% productivity boost. In contrast, customers who remap everything before using AI—i.e., AI-native customers—shift from agile development to specification-driven development, building the entire development lifecycle workflow on an agent framework, achieving 10x, 20x, or even 30x productivity improvements.
Market research firm Gartner predicts that within the next two years, the average Fortune 500 company will run over 150,000 AI agents. Doug Schmitt, Dell's Chief Information Officer and President of Dell Technologies Services, noted that this is the year of agent management, helping both customers and delivering agents internally. The company sees practical applications in supply chains and development, while externally, there are enormous opportunities in healthcare, education, and other fields. Bob Ward, Chief Architect at Microsoft, stated that Dell and Microsoft have jointly released SQL Server to support Dell's automation platform. The key architecture for AI capabilities involves integration with embedding models (for vector search) or chat completion models (for AI agents), all within the SQL Server engine. Through the partnership with Dell, it can connect to any local facility, including Azure Local, Dell, and Nvidia factories, building a framework that makes it easy to integrate AI models running anywhere.
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