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Seismora is developing an intelligent control plane that automates the routing of AI workloads across heterogeneous environments, including edge devices and various cloud providers. This infrastructure aims to decouple application logic from specific network constraints, allowing systems to dynamically optimize cost and performance by shifting tasks based on user intent and resource availability. The technology addresses a critical bottleneck in the distributed AI era by enabling seamless machine-to-machine communication regardless of the underlying hardware or hyperscaler.
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 plane to route AI workloads across devices and clouds appeared first on SiliconANGLE.
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 to let developers use resources across those environments…
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