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Seismora builds a control plane to route AI workloads across devices and clouds

Seismora builds a control plane to route AI workloads across devices and clouds — a bet that distributed compute needs orchestration middleware.

Paper-cut illustration of an amber microchip with circuit paths extending into a row of data-center cabinets.
The infrastructure powering AI.AI illustration by KeyNews
The KeyNews take

Why it matters

A startup is addressing a real operational problem: deciding which AI tasks run on-device, at the edge, or in the cloud. As enterprises deploy agents and inference workloads across heterogeneous environments, orchestration and cost optimization across providers becomes a critical infrastructure gap. This is early-stage infrastructure play, not a deployed solution yet.

The key facts

11 to know
  1. Seismora Inc. developing networking control plane for distributed AI workload routing

  2. Targets decision-making across device, edge, and cloud compute environments

  3. Aims to coordinate tasks across different providers and computing environments

  4. Founder and CEO: Vito Palermo

  5. No pricing, availability, or deployment scale disclosed

  6. Addresses multi-cloud and edge-cloud orchestration, not a vendor announcement of a live service

  7. Seismora Inc. developing networking control plane for distributed AI workloads

  8. Coordinates tasks across different providers and computing environments (device, edge, cloud)

  9. Founded and led by Vito Palermo

  10. Reported by SiliconANGLE, October 9, 2026

  11. No pricing, release date, or deployment milestones disclosed in excerpt

Go to the source

SiliconAnglesiliconangle.com

Publisher excerpt: 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),…
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