napari
Multi-dimensional image viewer for Python used in microscopy and scientific imaging, with layered visualisation, annotation tools and a plugin ecosystem.
Training and fine-tuning codebase for large language models from MosaicML, shipping Composer, MPT recipes and GPU-ready PyTorch dependencies. Built and maintained by WIEWAVE for Azure Marketplace and AWS Marketplace, on Ubuntu.
| Built & maintained by | WIEWAVE |
|---|---|
| Category | AI & Machine Learning |
| Operating systems | Ubuntu |
| 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.
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.
Multi-dimensional image viewer for Python used in microscopy and scientific imaging, with layered visualisation, annotation tools and a plugin ecosystem.
Shell environment preloaded with Python natural language processing libraries and models for tokenization, classification, entity extraction and other text tasks.
Python framework for building and simulating large-scale spiking neural network models of the brain, installed with its solvers and visualisation interface.
Experiment tracking and model registry client for machine learning teams, logging metrics, parameters, artifacts and hardware usage from training runs.
A viewer application for inspecting the architecture, layers and weights of neural network and machine learning model files.
An NVIDIA research framework that reconstructs detailed 3D surface models from RGB video using neural rendering techniques.
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.