Shared Vision, Scalable Impact: AI for Research

Key takeaways: Dell is teaming up with universities, research institutions and federal agencies to create scalable AI infrastructure. This public-private collaboration is fueling groundbreaking research and preparing the workforce for an AI-driven future.

This past week at SeedAI’s American AI Festival, I joined a closing panel of researchers, policymakers and industry leaders to talk about one big question: how do we build AI infrastructure that can keep up with the pace of discovery? The conversation echoed what we at Dell Technologies see every day in the field – institutions need partners who understand the realities of deploying AI at scale and are willing to solve those challenges together.

Universities and research institutions are rethinking how they access and fund AI and high-performance computing infrastructure. Shared, multi-institution models are gaining ground, funding models are evolving and new partnership opportunities are opening across the ecosystem.

During the discussion, we explored the power of public-private partnerships – and why they are critical to modernizing research infrastructure and driving long-term innovation. Some of the most promising advances are happening where sectors are aligning around shared vision, scalable infrastructure and flexible access. And in this time of accelerated change, cross-sector partnerships are helping organizations navigate what comes next. 

Addressing key hurdles in AI deployment

The excitement around frontier-class AI infrastructure is real and well-founded. But as computing demands increase rapidly, organizations can run into roadblocks along the way. Three common hurdles include:

• Data management: Managing massive datasets requires robust governance frameworks to ensure security, enable in-depth analysis and unlock their full value. Without these frameworks, institutions risk inefficiencies and missed opportunities in leveraging their data for innovation.
• Having the right teams in place: Building and retaining skilled teams is essential – both to make best use of AI infrastructure and to properly manage the governance frameworks that support it.
• Operational realities: AI infrastructure requires sufficient energy, space and cooling. Facilities, procurement and IT and data center teams all need a seat at the table from the early planning phases.

Addressing these challenges upfront is what separates successful deployments from costly or time-consuming course corrections. This is where Dell steps in – collaborating with institutions from the start to plan, build and scale together. 

Building the Ecosystem, Not Just the Infrastructure

Computing power is only one piece of the puzzle. Scaling research infrastructure means creating an ecosystem where data, talent and technology come together. Data centers need sufficient power and advanced cooling to run dense GPU systems reliably. Robust governance frameworks for shared datasets – and tools that make infrastructure usable beyond specialists – are equally essential.

Research IT teams and data scientists keep that infrastructure evolving, enabling the flexibility that universities, research institutions and startups need to move quickly. When these elements work in concert, they fuel the kind of cutting-edge research that moves fields forward.

Partnerships built on more than technology

Successful relationships aren’t just about buying hardware or standing up a new system, they’re about trust and a shared vision. Solutions like the Dell AI Factory are uncovering new possibilities, but they’re only part of the story. What really makes a difference is how we work with people. For decades, we’ve worked directly alongside researchers to share our deep technical expertise and passion to solve problems together.

Our collaboration with the MIT Media Lab has led many projects to fruition. These include human-robotic missions to the Moon, award-winning research projects and a special AI & US series to share insights and use cases. The University of Texas is another of our key collaborators. Together, we create AI training facilities, technical working groups and support the Texas Advanced Computing Center (TACC) – one of the most powerful academic supercomputing centers in the world. Dell is more than just a technology provider – we are a trusted partner enhancing the breakthroughs that our university partners are driving. 

Expanding access across the public sector

Dell’s infrastructure does more than run complex models – it also advances research in AI, energy and beyond. We are a core collaborator for Project Genesis with the U.S. Department of Energy, helping establish secure, privacy-preserving AI across research institutions and the energy sector. We also power the National Energy Research Scientific Computing Center (NERSC) to accelerate scientific breakthroughs at scale.

As AI’s significance continues to rise, making it accessible is more crucial than ever. Dell Technologies collaborates across the entire industry to ensure people have what they need to make an impact. This includes our work with the White House AI Education Taskforce to provide accessible AI technology and workforce readiness programs.

As I noted on the panel, the most successful AI initiatives are not simply technology projects -they are fundamentally relationships. Institutions make the greatest advances when researchers, IT, facilities, funding stakeholders and industry partners align around a clear plan and shared outcomes.

That spirit was at the core of the American AI Festival, and it drives our work at Dell Technologies every day. Whether we are supporting a university laboratory training the next generation of AI researchers or a federal agency modernizing critical infrastructure, our goal is the same: to be a partner fully invested in your mission and your long-term success. That is what Dell brings – and what we will keep building toward, together.