Model Hubs & Serving

QGate Model

Meta-model for MLRun/Iguazio/Nuclio, part of qgate-sln solutions.

Status
Not yet determined
Last checked
Checked · Oct 10, 2026
License
Open source
Pricing
Free tier · from $0
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What it is

qgate-model is an AI/ML meta-model designed to work within the MLRun/Iguazio/Nuclio ecosystem. It serves as a foundational component in various qgate-sln solutions, offering robust capabilities for data processing and model deployment.

qgate-model stands out as a flexible and customizable meta-model specifically designed to integrate seamlessly within the MLRun/Iguazio/Nuclio ecosystem, offering unique capabilities for data processing and model deployment.

When it fits — and when it doesn’t

A good fit for

  • Teams working on data processing and model deployment within the MLRun/Iguazio/Nuclio ecosystem

  • Developers needing a flexible meta-model architecture for customization in their machine learning workflows

Look elsewhere if

  • Projects that do not require integration with MLRun, Iguazio, or Nuclio ecosystems

  • Teams looking for cloud-based managed services rather than self-hosted solutions

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Vendor lock-in with MLRun/Iguazio/Nuclio ecosystem

    Tightly integrated features make it difficult to migrate to alternative platforms without significant effort

What it does well

  • Integration with MLRun/Iguazio/Nuclio ecosystems

  • Flexible meta-model architecture for customization

  • Supports various data processing and model deployment tasks

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up QGate Model

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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QGate Model — tracked on AI Navigator

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