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Infrastructure Solutions for AI Data Centers
Delivering a Seamless Integration of Products and Solutions to Enable Your AI Network
Comprehensive Products and Solutions
We offer sustainable products and solutions that are optimally designed for Data Center settings, integrating Artificial Intelligence.
Providing Efficient Offerings
We deliver strategic resolutions designed to address our customers’ unique challenges, such as time constraints, supply chain issues, and risk evaluation.
Strategically Aligned
Our thought leaders collaborate with partners and distributors to deliver solutions that are widely recognized and adopted in AI Data Center environments.
"Global AI adoption is growing at a Compound Annual Growth Rate (CAGR) of 40%"
- Grand View Research
Essential Products and Solutions for Your AI Roadmap
Pathways
Cable routing is a key component in managing an AI Data Center network. With AI clusters requiring a new environment and GPU servers needing much more connectivity between servers the proper cable management application must be installed to prevent physical damage that can result in a disruption of critical network connections.
Fiber Connectivity
Fiber will be utilized for all rack-to-rack and most in-rack connections. Having the right fiber architecture implemented will resolve network latency issues and provide a pristine focus on GPU-GPU communication. To connect all of the GPUs to create a cluster (or pod) needed for larger-scale AI, fiber cabling and high-speed optical transceivers are required. In return, having the right Fiber connectivity in place can work effortlessly to maintain the high-speed data transfer that stems from the continuous learning of AI models.
Power
More equipment and higher GPU density equate to the need for more power. Data is being driven at an all-time high rate which is causing an increase in computing speed derived from training and inference workloads and seeing 12x more power required to the rack. Power will have to be thought of in a different light including the need for utilizing off-grid supplies such as renewable energy.
Cabinets, Racks, and Containment
Containing higher densities will be a major challenge for data center operators as they prepare to transform their layout, and many will choose a rack and stack method to accommodate the higher load and deeper cabinets. High-density racks are required to support high-performance compute and AI workloads and in return will have a minimal impact on power consumption. In addition, having a dedicated containment solution in place will help align cooling strategies to combat high power demands.
Cooling
The increase in the number of AI systems in data centers and their high-power usage per rack is speeding up the need for innovative cooling methods. There are several cooling options available including air cooling, direct liquid cooling, and air-assisted liquid cooling which can be determined by conducting an infrastructure assessment. Not having the right cooling method in place can cause equipment failure, system downtime, and a rise in energy costs.
Gray Space
When reimagining your Data Center environment it will be important to rethink how your Data Center Gray Space layout will work together with your AI infrastructure. Cable cleats, grounding and bonding, and safety products will lead the way in making sure operations are efficient and support your power and cooling requirements.
With onboarding workloads faster, a quick delivery program, and reliable solutions we are prepared to relieve our customer’s most reoccurring AI challenges.
Panduit Cares About Sustainability
At Panduit, we innovate and enable connection through our Environmental, Social, and Governance (ESG) practices and principles. Learn how we lead in Sustainability and Renewable Energy .
AI Related Resources
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Want to discuss your AI Data Center transformation?
