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Rapid AI/ML Model Deployment on Azure

Preconfigured environment for packaging trained models into HTTP inference endpoints, bundling common Python serving frameworks and their dependencies for quick deployment. Built and maintained by WIEWAVE for Azure Marketplace, on Ubuntu and Debian.

Rapid AI/ML Model Deployment at a glance

Key facts about Rapid AI/ML Model Deployment
Built & maintained byWIEWAVE
CategoryAI & Machine Learning
Operating systemsUbuntu, Debian
MarketplacesAzure Marketplace
Offer typesPublic listing, with private offers on request

Availability by marketplace

Where Rapid AI/ML Model Deployment is published
MarketplaceStatus
Azure MarketplacePublished
AWS MarketplaceAvailable on request
Google Cloud MarketplaceAvailable on request

Need it on another marketplace, or as a private offer for your organisation? cloud@wiewave.com

Operating systems

Rapid AI/ML Model Deployment is built on 2 distributions

Each image follows its distribution's own provisioning model, package manager and security tooling — not one build relabelled several times.

  • Ubuntu

    LTS and interim releases, Minimal and Pro variants, built to Canonical's cloud-image conventions.

  • Debian

    Stable and oldstable, with backports where a workload needs a newer runtime than the release ships.

How it's built

How WIEWAVE builds and maintains this image

The same four steps behind every offer we've published, including the hardening and CIS Benchmark checks every build goes through.

  1. 01

    Scoped

    The distribution, licensing model and target marketplaces are agreed before anything is built.

  2. 02

    Built & hardened as code

    Packer templates, Ansible provisioning and a pinned package set — then hardened, scanned and checked against the CIS Benchmark for its distribution.

  3. 03

    Certified & published

    Taken through each cloud's own certification pipeline before it goes live on the marketplace.

  4. 04

    Maintained

    Rebuilt on the upstream security cadence and re-published, with old versions retired without breaking deployments.

FAQ

Rapid AI/ML Model Deployment: common questions

If yours isn't here, ask our marketplace team directly.

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Need Rapid AI/ML Model Deployment customised, or on another cloud?

Tell us the distribution, the marketplace and the commercial model — we'll build, certify and publish it as a public listing or a private offer.