Accelerating AI Deployments Through Collaborative Problem Solving
The adoption of artificial intelligence is creating a seismic shift in the data center landscape, impacting design and operations for enterprises, colocation providers, and hyperscale giants alike. With over 30 years of experience serving multinational customers, we’re at the forefront of the AI transformation, collaborating with our customers to develop practical solutions that are not only forward-thinking, but immediately solve the evolving challenges of deploying resilient, agile AI data centers.
Meet Rising Power Needs with Safety and Efficiency
With high-performance GPUs and CPUs demanding over 100kW per rack, lower power capacity rack PDUs and traditional pipe and wire or conduit are no longer sufficient. Explore how intelligent, high-amperage PDUs and overhead track busway meet rising power supply needs safely and efficiently.
Efficient Cooling Options to Support Processing Demands
Rising power density and increased computational power significantly raise cooling requirements, with traditional air cooling unable to keep pace. Rear door heat exchangers and modular containment options enable additional thermal management without overhauling your infrastructure for liquid cooling.
Reimagining the Rack: AI Requirements Change Physical Specs, Deployment Expectations
The ability of AI to process massive amounts of data hinges on high-density clusters. Standard racks were not designed to support the larger size or heavier weight loads of these clusters. At the same time, there is growing pressure to increase speed to deployment with pre-integrated, ready-to-install racks.
Overcoming Challenges in Cable Management and Connectivity
Cabling requirements for Al servers, especially GPU clusters, can impede proper airflow and reduce cooling efficiency. Additionally, complex cable routing can cause delays in installations. Efficient and well-planned cabling are crucial to ensure maximum performance and low latency while utilizing minimal space.
Critical Monitoring and Management for AI Deployments
Higher power densities necessitate more granular power monitoring, both for usage, and for quality. Simply put, the risks of not uncovering power inefficacies your AI deployment are too great to ignore. Reliable, real-time usage visibility empowers data center operators to meet their efficiency, sustainability, reporting and management goals, while power quality monitoring ensures smooth operation and prevents data loss.
Overseeing AI workflows can be further challenged by deployments in multiple geographic locations utilizing varios operating system languages. Out-of-band (OOB) management should be considered for simplifying systems-level visibility and control.
