An NVIDIA application framework and SDK collection for building and deploying AI models in medical imaging and healthcare workflows. Built and maintained by WIEWAVE for Azure Marketplace, on Ubuntu.
| Built & maintained by | WIEWAVE |
|---|---|
| Category | AI & Machine Learning |
| Operating systems | Ubuntu |
| 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.
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.
GPU driver and CUDA toolkit versions pinned to a combination that's actually been tested together, with nvidia-smi verified at build time.
Ollama for running open-weight models locally, with GPU offload configured and the API bound for use behind a proxy.
A bundle pairing the Ollama local large language model runtime with the Open WebUI chat interface for running open-source models.
An open format and runtime for representing and executing machine learning models across different frameworks and hardware backends.
Reference PyTorch implementation for music source separation, splitting audio tracks into vocals, drums, bass and residual stems using pretrained models.
An open-source platform for building and running autonomous AI agents that can use tools and complete multi-step tasks.
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.
