Neural machine translation models from the Helsinki-NLP OPUS project, served through Marian and Transformers runtimes for translating text across many language pairs. Built and maintained by WIEWAVE for Azure Marketplace and AWS Marketplace, on Ubuntu and Debian.
| Built & maintained by | WIEWAVE |
|---|---|
| Category | AI & Machine Learning |
| Operating systems | Ubuntu, Debian |
| 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.
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.
Baidu's open-source deep learning framework, installed with its Python API and model libraries for training and serving vision, OCR and NLP models.
Python data analysis library providing DataFrame structures for cleaning, joining and aggregating tabular data, installed with NumPy and a Jupyter environment.
Combined Python environment pairing pandas for tabular preprocessing with Hugging Face Transformers for loading, fine-tuning and running pretrained NLP and vision models.
Python stack combining pandas dataframes with LangChain so LLM chains and agents can query, summarise and reason over tabular datasets.
Python helper running SQLite queries directly against pandas DataFrames, letting analysts mix familiar SQL syntax into notebook and script workflows.
Text rewriting web tool image whose upstream project is unclear; confirm the exact features and licensing with the vendor before deploying it.
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.
