Class-conditional generative adversarial network for high-resolution image synthesis, provided with pretrained weights and inference scripts for sampling from ImageNet categories. 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.
Text-to-image generation tool that steers BigGAN with CLIP guidance to synthesise pictures from prompts, installed with PyTorch and GPU dependencies.
Multilingual large language model fine-tuned from BLOOM for instruction following across dozens of languages, served with transformers and inference dependencies.
Deep learning framework from Berkeley Vision and Learning Center, shipped with Python bindings, the reference model zoo and CPU inference dependencies.
French-language RoBERTa model packaged with Hugging Face Transformers and PyTorch for text classification, named entity recognition and other NLP tasks.
Gradient boosting library from Yandex with native categorical feature handling, installed alongside Python bindings, GPU training support and Jupyter notebooks.
Define-by-run deep learning framework for Python, preinstalled with CuPy GPU arrays, NumPy and Jupyter for building and training neural networks.
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.
