Seismora builds a control plane to route AI workloads across devices and clouds
A control plane for distributed AI could help applications decide which tasks to run on a device, at the edge or in the cloud. Seismora Inc. is developing networking technology to coordinate AI workloads across different providers and computing environments, according to Vito Palermo (pictured), founder and chief executive officer of Seismora. The aim is […] The post Seismora builds a control…
Seismora Inc. is developing a control plane for distributed AI that can route workloads across devices, edge infrastructure, and cloud providers. Founder and CEO Vito Palermo explained that the goal is to allow developers to use resources across different environments without having to build routing logic into each application. Palermo described their approach as "cognitive routing," which selects where AI work runs based on capability, cost, latency, and policy constraints.
The control plane would coordinate tasks across devices, edge infrastructure, and cloud providers, optimizing performance and costs. For instance, an AI application might run a digital twin using Nvidia's Omniverse on an iPhone, while other parts of the application are processed at the edge or in a neocloud. Seismora's technology could help enterprises with multiple neoclouds and models by intelligently routing AI traffic across various environments.
The company's approach is targeted at developers building agentic applications for end users, rather than end consumers themselves.
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