The rapid growth of AI models and applications is driving unprecedented computational demand, with power consumption expected to exceed current data center, cloud, and enterprise capabilities within the next five years. Leaders in technology and AI infrastructure must prioritize power efficiency as a cornerstone for scalability and resilience.
This technical overview explores how F5 BIG-IP Next for Kubernetes, deployed on NVIDIA BlueField-3 DPUs, addresses these challenges. By offloading networking, security, and application delivery tasks from CPUs to energy-efficient DPUs, enterprises deploying AI factories can reduce energy consumption and optimize resource utilization for AI operations. Learn how BIG-IP Next for Kubernetes enables power efficiency, scalability, and sustainability in high-performance AI environments, helping organizations meet growing demand with an energy-focused infrastructure strategy.
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Discover why data centers are struggling to keep pace with rapid AI growth and the implications for long-term sustainability and operational costs.
Explore how offloading networking, security, and application delivery functions from CPUs to DPUs can significantly reduce energy consumption and improve performance.
Gain insights into how organizations can achieve power savings per inference server and greater energy efficiency per token, paving the way for more sustainable AI operations.