Pushing Boundaries of Sustainable HPC and AI with Liquid Cooling
As artificial intelligence (AI) and high-performance computing (HPC) workloads continue to grow bigger, hotter, and more power-intensive, players like DUG – a pioneer in HPC solutions – focus on marrying sustainability with cost efficiency.
DUG, originally a geoscience data processing company, has been perfecting the use of liquid cooling technologies for HPC infrastructure for 15 years. Their latest innovations, including the Nomad—a data center in a shipping container—are designed for scalability and efficiency, offering HPC-as-a-service to clients who value sustainability, affordability, and simplicity over costly on-prem solutions.
The company’s liquid-Cooled HPC-as-a-service offers scalable, cost-effective, sustainable solutions to customers who are looking to access bare-metal HPC machines at a fraction of the cost of building on-premise solutions.
As the demand for AI and machine learning (ML) solutions continues to surge, DUG is observing a transition from traditional HPC-as-a-service to AI-as-a-service and ML-as-a-service, said Executive Vice President Ron Schop.
AI workloads also amplify the need for storage and heat management. DUG has doubled its cooling capacity through advanced Fluid Control Modules (FCMs), Schop said. And as storage demands continue to grow, partnering with storage leaders like Solidigm is critical, bringing large-capacity drives to provide the density required to meet modern AI and HPC needs.
So what’s the TechArena take? DUG brings a commitment to sustainable HPC solutions with an emphasis on creativity and innovation and more than a decade of experience with liquid cooling, presenting an interesting alternative for enterprises weighing new approaches to their data needs.
To learn more about DUG’s sustainable, liquid-cooled HPC and AI/ML solutions, visit dug.com.
As artificial intelligence (AI) and high-performance computing (HPC) workloads continue to grow bigger, hotter, and more power-intensive, players like DUG – a pioneer in HPC solutions – focus on marrying sustainability with cost efficiency.
DUG, originally a geoscience data processing company, has been perfecting the use of liquid cooling technologies for HPC infrastructure for 15 years. Their latest innovations, including the Nomad—a data center in a shipping container—are designed for scalability and efficiency, offering HPC-as-a-service to clients who value sustainability, affordability, and simplicity over costly on-prem solutions.
The company’s liquid-Cooled HPC-as-a-service offers scalable, cost-effective, sustainable solutions to customers who are looking to access bare-metal HPC machines at a fraction of the cost of building on-premise solutions.
As the demand for AI and machine learning (ML) solutions continues to surge, DUG is observing a transition from traditional HPC-as-a-service to AI-as-a-service and ML-as-a-service, said Executive Vice President Ron Schop.
AI workloads also amplify the need for storage and heat management. DUG has doubled its cooling capacity through advanced Fluid Control Modules (FCMs), Schop said. And as storage demands continue to grow, partnering with storage leaders like Solidigm is critical, bringing large-capacity drives to provide the density required to meet modern AI and HPC needs.
So what’s the TechArena take? DUG brings a commitment to sustainable HPC solutions with an emphasis on creativity and innovation and more than a decade of experience with liquid cooling, presenting an interesting alternative for enterprises weighing new approaches to their data needs.
To learn more about DUG’s sustainable, liquid-cooled HPC and AI/ML solutions, visit dug.com.
