Sourcegraph's AI coding assistant configured to index a repository and answer questions, explain code and generate patches using codebase context. 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.
Structure-from-motion and multi-view stereo pipeline that reconstructs 3D geometry and camera poses from image collections, built with CUDA acceleration.
Distributed training system for large models offering tensor, pipeline and sequence parallelism plus ZeRO memory optimisation across multi-GPU nodes.
Natural language processing image for extracting entities, sentiment and key phrases from text; the specific engine and models depend on the publisher's build.
Command-line environment intended for image analysis tasks such as detection and classification; the bundled vision libraries depend on the publisher's build.
Machine learning image for sorting text or media into predefined labels; the underlying models and framework depend on the publisher's configuration.
Conditioning framework for Stable Diffusion that steers image generation using pose, depth, edge and segmentation maps alongside the text prompt.
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.
