NVIDIA Triton serving TensorRT, ONNX and PyTorch models side by side, with dynamic batching and the metrics endpoint enabled. Built and maintained by WIEWAVE for Azure 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 |
| 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.
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.
Toolkit for training reinforcement-learning agents inside Unity environments, bundling the Python trainer package, PyTorch and the ml-agents communication library.
Vectice provides model documentation and governance for data science teams, capturing experiment lineage, dataset versions and validation evidence for review.
Offline speech recognition toolkit built on Kaldi, providing streaming APIs, Python and server bindings, and compact acoustic models for many languages.
AI & Machine LearningVisual Object Tagging Tool from Microsoft for labelling images and video frames, exporting annotations in formats consumed by common object detection trainers.
Fast online machine learning library supporting contextual bandits, reinforcement learning and large-scale linear models trained from streaming input files.
Convolutional neural network upscaler that enlarges and denoises anime-style artwork and photographs, with command line and web interfaces for batch jobs.
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.
