Image for hosting or fine-tuning self-selected large language models; the served models and inference stack depend on the publisher's configuration. 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.
Conda, NumPy, pandas, scikit-learn and JupyterLab as one coherent environment, with BLAS linked against a threaded build.
Cascaded pixel-space diffusion model for text-to-image generation that renders legible text inside images, packaged with GPU inference dependencies.
Markerless pose estimation toolbox that tracks animal and human body parts in video using transfer learning on deep neural networks.
Semantic segmentation architecture using atrous convolution and spatial pyramid pooling, supplied with pretrained weights for per-pixel image labeling.
Conversational AI library for building chatbots and NLP pipelines, with pretrained models for intent classification, named entity recognition and question answering.
Inference image that serves DeepSeek and Llama open-weight language models on GPU hardware for chat, coding and reasoning workloads.
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.
