Public cloud is then used for scalable inference, data processing and accessing specialised AI services. This bifurcation of workloads is a hallmark of the new AI-driven hybrid model.
The role of high-speed connectivity in these distributed AI architectures is critical.
A recent partnership between F5 and the global data centre giant Equinix, announced in August 2025, highlights this trend. Their collaboration aims to provide secure, high-performance connections for distributed AI workloads like inference and retrieval-augmented generation( RAG). Speaking on the partnership, John Maddison, Chief Product and Corporate Marketing Officer at F5, articulated the challenge and the solution:
“ AI is putting massive new demands on infrastructure, especially at the edge, where latency, security and control are critical,” said John.“ Enterprises need faster, more secure ways to deploy and connect applications and AI workloads globally – without the complexity of managing physical infrastructure.
“ Our expanded partnership with Equinix gives customers exactly that: a flexible, high-performance foundation to support AI-driven use cases and deliver exceptional digital experiences across any environment.”
This collaboration exemplifies the market’ s direction: creating a seamless, secure and high-performance fabric that stretches from the private data centre to the global public cloud
202 September 2025