Dell, Microsoft and AMD Unite for AI-Focused Infrastructure Solutions

Dell Technologies is leveraging strategic partnerships with major players in the tech industry to drive its initiatives. The company's collaborations with chipmakers, virtualization leaders, cloud providers, and leading software platforms have enabled it to develop a platform that integrates compute, storage, networking, and workloads across hybrid and multicloud environments.

Two key alliances involve Microsoft Corp. and Advanced Micro Devices Inc., which are working together to create integrated solutions for joint customers. These partnerships continue to be a significant source of innovation, according to Arthur Lewis, president of the infrastructure solutions group at Dell.

'There's still a large opportunity for partners in this space,' said Lewis during an interview with SiliconANGLE Media's livestreaming studio, theCUBE. 'With AI, partners are creating new offers and services that surround everything around AI.'

Dell and its ecosystem partners, including Microsoft and AMD, are generating innovative solutions to power the future of AI. Reporting from Dell Technologies World in Las Vegas, theCUBE explored how these partnerships are driving progress.

Enterprises are rapidly discovering that deploying AI comes with a cost. According to a report by The State of FinOps 2026, 98% of practitioners now manage AI spend, and most organizations still overspend on AI workloads by four to five times their original budget. This is placing pressure on vendors to provide cost-efficient solutions.

One solution involves managing the cost of tokens, which are the fundamental units of data processed by large language models. To address this issue, Dell recently launched Deskside Agentic AI, an on-premises or PC-based sandbox where AI agents can be built and tested locally without driving up cloud expenses.

The rise of agentic AI has also led to increased demand for central processing unit (CPU) power. Agents don't always need graphics processing units (GPUs) to run efficiently, which is generating a tailwind for chipmakers like AMD that maintain deep CPU portfolios.

Agentic AI is goal-oriented and uses every tool available to achieve its objectives. This can involve querying GPUs for complex math equations but also planning, checking, kicking off tools, verification, and iterating – tasks that favor serial architecture over parallel one.

A key element in the Dell/Microsoft partnership involves integrating database, automation, and hybrid cloud capabilities into a stack that feeds AI the data it needs. The latest announcements surrounding the Dell Automation Platform and Microsoft Azure with SQL Server illustrate how the two companies are designing architecture for the full AI deployment life cycle.