AI is reshaping networks
As AI adoption takes off in everyday life, it’s changing not just the volume of network traffic but how and where it flows.
AI is moving closer to end users – closer to the edge. Inference is becoming the dominant AI workload, driving new traffic flows between end-user devices, edge locations and cloud infrastructure.
Meanwhile, agentic AI is set to drive ever greater traffic volumes through multiple API calls at machine speed.
With the rise of distributed AI, organisations increasingly need to connect AI across a mix of edge, cloud and core infrastructure. The challenge is delivering the right combination of performance, resilience and scalability throughout your AI journey.
Your AI connectivity challenge
Every organisation’s AI connectivity requirements are different.
As a hyperscaler or neocloud, you need to deploy resilient, high capacity infrastructure fast, connect new locations and scale nationwide.
If you’re a sovereign or regulated cloud provider, you’re after secure connectivity that supports sovereignty, compliance and operational control.
As a GPUaaS or AI start-up, you want to scale quickly without investing in more infrastructure than current demand requires.
Or if you’re connecting AI workloads within your organisation, you need reliable connectivity between users, sites, cloud platforms and data centres.
Different requirements. One common challenge: connecting, scaling and securing AI, wherever it takes you next.
Introducing AI Connect
AI Connect is Neos Networks’ portfolio of connectivity solutions for distributed AI. Build out AI networks from edge to core with Edge AI Connect, Cloud AI Connect and AI Infrastructure Connect.
