Open-source toolkit supplied as a preconfigured image; consult the upstream project documentation for the exact functionality, dependencies and usage of this build. Built and maintained by WIEWAVE for Azure Marketplace, on Ubuntu and Debian.
| Built & maintained by | WIEWAVE |
|---|---|
| Category | AI & Machine Learning |
| Operating systems | Ubuntu, Debian |
| Marketplaces | Azure Marketplace |
| Offer types | Public listing, with private offers on request |
| Marketplace | Status |
|---|---|
| Azure Marketplace | Published |
| AWS Marketplace | Available on request |
| Google Cloud Marketplace | Available on request |
Need it on another marketplace, or as a private offer for your organisation? cloud@wiewave.com
Each image follows its distribution's own provisioning model, package manager and security tooling — not one build relabelled several times.
LTS and interim releases, Minimal and Pro variants, built to Canonical's cloud-image conventions.
Stable and oldstable, with backports where a workload needs a newer runtime than the release ships.
The same four steps behind every offer we've published, including the hardening and CIS Benchmark checks every build goes through.
The distribution, licensing model and target marketplaces are agreed before anything is built.
Packer templates, Ansible provisioning and a pinned package set — then hardened, scanned and checked against the CIS Benchmark for its distribution.
Taken through each cloud's own certification pipeline before it goes live on the marketplace.
Rebuilt on the upstream security cadence and re-published, with old versions retired without breaking deployments.
If yours isn't here, ask our marketplace team directly.
GPU-ready training and inference images with drivers, CUDA and frameworks already matched to each other.
MLOps framework for writing portable machine learning pipelines and switching between orchestrators, artifact stores and model registries through one Python API.
A development environment preconfigured with LangChain and LangFlow for building and visually prototyping LLM-powered applications.
An open-source toolkit with metrics and algorithms for detecting and mitigating bias in machine learning models.
A machine learning application that adjusts product prices in real time based on demand, competition, and other signals.
A development environment bundling Python, Jupyter notebooks, and common machine learning libraries for data science work.
A Python library providing fast, GPU-friendly image augmentation transforms for training computer vision models.
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.
