A full-stack application for building private, document-aware chatbots on top of local or hosted large language models. Built and maintained by WIEWAVE for Azure Marketplace and AWS Marketplace, on Ubuntu, Debian, Red Hat Enterprise Linux, AlmaLinux and Rocky Linux.
| Built & maintained by | WIEWAVE |
|---|---|
| Category | AI & Machine Learning |
| Operating systems | Ubuntu, Debian, Red Hat Enterprise Linux, AlmaLinux, Rocky Linux |
| Marketplaces | Azure Marketplace and AWS Marketplace |
| Offer types | Public listing, with private offers on request |
| Marketplace | Status |
|---|---|
| Azure Marketplace | Published |
| AWS Marketplace | Published |
| 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.
RHEL 8 and 9 images, including BYOS and pay-as-you-go licensing models on each marketplace.
The 1:1 RHEL-compatible rebuild, and the default landing spot for teams migrating off CentOS Linux.
Enterprise-grade RHEL compatibility with a community governance model, on 8 and 9 streams.
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.
Automated machine learning toolkit built on scikit-learn that searches pipelines and hyperparameters using Bayesian optimisation, shipped with Python and its numeric dependencies.
Lightweight Python framework for building LLM agents with custom tools, including simulated conversations that let you evaluate agent behaviour automatically.
AutoML library from AWS that trains and ensembles models for tabular, text, image and time-series data with only a few lines of Python.
Experimental autonomous agent platform chaining LLM calls, tools and memory to pursue user-defined goals, preinstalled with its Python runtime and web interface.
AutoML system built on Keras and TensorFlow that searches neural network architectures and hyperparameters for classification, regression and image tasks.
Curated collection of AI tools and references packaged as a browsable image; confirm the exact bundled contents with the publisher before production use.
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.
