ZEDEDA

What is ZEDEDA?

ZEDEDA is a platform for managing edge computing at scale. Its cloud service, ZEDEDA Cloud, remotely orchestrates hardware running EVE-OS and the applications that run on it, and you can work through a graphical interface, a command line or an API. The product line covers edge infrastructure services such as an Edge Kubernetes Service, App Flows, Edge Air Gap Sync and Edge Remote Access, plus Edge Inference Services for building, testing and deploying AI models, and a Marketplace of validated partner solutions. Typical uses include computer vision, predictive maintenance, remote device management and industrial IoT data. Each edge device needs a license, and the pricing page shows no prices, so you contact the vendor about licensing. A free 30-day trial is available by signing up for a demo cluster, and a sandbox path using the open EVE project is also described in the help center.

Use cases

• Manage fleets of remote edge devices
• Deploy AI models to edge sites
• Run Kubernetes clusters at the edge
• Update devices without visiting sites
• Roll out computer vision at the edge
• Support predictive maintenance

Who it's for

• Edge infrastructure teams
• Industrial IT teams
• Service providers
• AI engineers

Why use ZEDEDA

• Lets you update and troubleshoot devices at many sites from one console.
• Combines device management, Kubernetes and AI inference under one vendor.
• A graphical interface, command line and API give teams more than one way to work.
• A 30-day trial on a demo cluster lets you test before committing.
• Air gap sync support helps sites with limited connectivity.

ZEDEDA features

• ZEDEDA Cloud orchestration with GUI, CLI and API
• EVE-OS for edge nodes
• Edge Kubernetes Service and App Flows
• Edge Air Gap Sync
• Edge Remote Access
• Edge Inference Services for AI model pipelines
• Marketplace of validated partner solutions
• Onboarding and off-boarding of edge nodes

ZEDEDA integrations

• Microsoft Azure
• Kubernetes

How to get started with ZEDEDA

1. Install EVE-OS on your edge hardware.
2. Onboard each edge node into a project in your ZEDEDA Cloud enterprise.
3. Create edge apps from the Marketplace and deploy them as app instances to your nodes.
4. Use Kubernetes services or Edge Inference Services for clusters and AI models.
5. Monitor and update nodes remotely through the GUI, CLI or API.

ZEDEDA limitations

• Every edge device needs a license
• Port 443 must be open on the edge node firewall
• Prices are not published, so licensing terms come from the vendor

ZEDEDA pricing

ZEDEDA is sold on custom quotes, so its prices aren't published.

Prices can change and may vary by country or exclude tax. Check the official pricing page.

ZEDEDA alternatives

The main ZEDEDA alternatives listed on Debuly are DeepEdge, LlamaEdge, Encord, ExecuTorch, Nebius AI Cloud and NVIDIA Dynamo-Triton. The table compares pricing and platforms; order is A–Z.

1. 

   DeepEdge

   Low-code deep learning platform to label, train, optimize and deploy computer vision models on edge hardware.

   Developer platforms
   Free trialVisit DeepEdge (official site)
2. 

   Encord

   Multimodal data platform for AI teams to curate, annotate and evaluate image, video, DICOM, audio, document and text data.

   Developer platformsAutomation and agentsResearch and search
   Contact salesVisit Encord (official site)
3. 

   ExecuTorch

   PyTorch's open-source framework for exporting models and running them on phones, microcontrollers and other edge devices.

   Developer platformsCoding
   Open sourceVisit ExecuTorch (official site)
4. 

   LlamaEdge

   Small Rust and WebAssembly runtime that serves local LLMs through an OpenAI-compatible API on CPUs, GPUs and edge devices.

   Developer platformsCodingAutomation and agents
   Open sourceVisit LlamaEdge (official site)
5. 

   Nebius AI Cloud

   GPU cloud for AI training and inference with on-demand NVIDIA clusters, managed Kubernetes and Slurm, and usage-based billing.

   Developer platformsAutomation and agents
   PaidVisit Nebius AI Cloud (official site)
6. 

   NVIDIA Dynamo-Triton

   Open-source inference server, formerly Triton Inference Server, for serving models from TensorRT, PyTorch, ONNX and more in production.

   Developer platforms
   Open sourceVisit NVIDIA Dynamo-Triton (official site)

ZEDEDA FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

Image credits

• Logo: from zededa.com · fetched 24 Oct 2026 · Vendor trademark, used only to identify the product; removed on request
• Cover: none collected yet, so a generated tile is shown.

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