From a pilot to everyday use
Cisco’s June 2026 networking announcement puts inference and end-to-end connectivity at the centre of its AI infrastructure direction. For a business introducing AI tools, the practical question is where information moves: between staff and cloud services, applications and stored data, or systems within a data centre. Each path has different dependencies.
Cisco — End-to-end AI networkingCapacity starts with evidence
A busy internet link does not automatically justify replacing every switch. Utilization, latency, packet loss, wireless coverage and application behaviour provide a more useful starting point. A small office using hosted AI has a different requirement from a facility hosting accelerated computing. Treating both as the same project can leave money tied up in equipment that does not address the actual constraint.
Our engineering perspective
Catalyst connects network assessment with a defined change plan. That can include documenting uplinks, reviewing segmentation, coordinating an equipment refresh and validating affected workplace services. The useful outcome is a network decision supported by measurements and a handover the client’s IT team can maintain. AI may be the new workload; accountable infrastructure delivery remains essential.
