We all know how successful Deepseek has been in recent months. It demonstrates that a low-processing-power, CPU-based AI is possible. Adopting this type of AI anywhere, including IoT devices or even routers, could be feasible.
Cisco, Juniper, Arista, and other network device manufacturers already produce hardware with high processing power. Some of these devices run Linux- or Unix-based platforms, allowing libraries and packages to be installed on the system. If that’s the case, can AI run on them?
Based on Deepseek’s case, tests have shown that an ARM Linux-based Raspberry Pi can successfully run AI. Although the response time may not meet business requirements, it still functions.
Running AI on a router (perhaps within the control plane?) could enable AI to control and modify router configurations. (Skynet? Terminator?) But then, would the AI become uncontrollable?
There are several key questions to consider:
- What can AI do on routers and firewall devices?
- Can AI self-learn the network environment and take further control?
- Can AI troubleshoot operational issues?
It seems like an interesting topic for further research. However, before diving deeper, teaching AI about network operations should no longer be a major concern.
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