DataBank, one of the nation’s leading data center operators, with more facilities in more markets than any other provider, has seen the future of enterprise AI infrastructure and knows how to help enterprises get there.
With a customer base that spans 2500+ enterprises – in addition to hyperscalers and emerging AI service providers – DataBank has a unique perspective on the trends and lessons learned from customer AI deployments to date, which include some of the industry’s first NVL72/GB200 installations.
In this 60-minute session, John Solensky, DataBank’s VP of Sales Engineering, and Mike Alvaro, DataBank’s Principal Solutions Architect, will share what DataBank has learned from its early GPU installations for hyperscalers and AI service providers, how those lessons were applied to later enterprise installations, the impact that next-generation GPUs are having on data center designs and solution costs, and the lessons for future enterprise deployments.
Location: Room 206
Duration: 1 hour
Mike Alvaro
Michael Alvaro brings over 12 years of industry expertise spanning construction and mathematics to his role as Principal Solution Architect at DataBank, where he serves as technical lead for the data center sales team. Specializing in enterprise colocation solutions, Michael guides organizations through complex infrastructure requirements involving high-performance computing deployments.
As AI workloads rapidly scale across enterprises, Michael has become a trusted advisor for deployments demanding both high-density air cooling and advanced liquid cooling solutions. His unique construction background provides critical insight into physical infrastructure challenges, while his mathematical foundation enables precise optimization of power, cooling, and space efficiency. Michael’s approach centers on translating complex technical requirements into actionable deployment strategies, helping clients understand not just what’s possible, but what’s most cost-effective and operationally efficient.
John Solensky
John Solensky is the Vice President of Solutions Engineering at DataBank, where he leads a team focused on delivering colocation, cloud, and AI infrastructure solutions. With over 26 years of industry experience , John brings deep expertise in helping enterprises design and deploy secure, scalable, and high-performance platforms.
Since joining DataBank in 2020, John has been instrumental in advancing the company’s solutions engineering strategy, enabling customers to modernize IT environments and harness the power of AI-driven applications hosted in DataBank’s facilities. His leadership emphasizes collaboration, technical excellence, and a client-first approach, ensuring that organizations can rely on DataBank for mission-critical workloads and next-generation innovations.
Greg McNutt
Greg McNutt is the Technical Director at PureStorage, Inc. where he has spent nearly a decade developing efficient methods of utilizing expensive hardware and limited power and supporting relatively high touch engineering labs. Over his career has has spent many years working on products from lowest level facilities to cloud and high scale products. Greg studied dependable computing at Stanford University. https://www.linkedin.com/in/gcmcnutt
DataBank
Website: https://www.databank.com/
DataBank helps the world’s largest enterprises, technology, and content providers ensure their data and applications are always on, always secure, always compliant, and ready to scale to meet the needs of the artificial intelligence era. Recognized by Deloitte in 2023 and 2024, and Inc. 5000 in 2024 as one of the fastest-growing private US companies, DataBank’s edge colocation and infrastructure footprint consists of 65+ HPC-ready data centers in 25+ markets, 20 interconnection hubs, and on-ramps to an ecosystem of cloud providers with virtually unlimited reach.
