New Solution Brief

Aligning your data center strategy and AI initiatives: Eight key considerations

In an era where AI workloads demand unprecedented infrastructure capabilities, this AI-readiness solution guide provides essential considerations and actionable recommendations to help enterprises build scalable, future-ready data center strategies. Get expert insights, practical guidance and proven approaches to tackle critical challenges like power density requirements, cooling innovations, network optimization and sustainable growth. Discover how modern high-performance data centers and hybrid infrastructure strategies can transform your AI initiatives while supporting long-term business objectives.

Highlights:

  • Addressing rising energy and operational costs: Energy-efficient, high-performance data centers designed for AI workloads, featuring advanced liquid cooling and optimized power distribution systems.
  • Meeting stringent data privacy and compliance requirements: Secure, private infrastructure providing full control and custody of proprietary information while enabling connectivity to cloud services.
  • Scaling infrastructure for AI workloads: Purpose-built data centers with space, power density and advanced cooling to support intensive AI training and inferencing apps without costly retrofits.
  • Managing distributed AI deployment complexity: Multi-location AI infrastructure management simplified with 270+ globally interconnected data centers offering secure, low-latency connectivity.
  • Achieving sustainability goals while scaling AI operations: 96% renewable energy coverage globally and energy-efficient infrastructure, backed by Green Power Reports to track and report emissions.
Hybrid Multicloud Networking Sustainability Colocation Interconnection Digital Transformation High-Performance Data Center
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