The challenge
As Saturn Cloud's platform evolved, its documentation had become increasingly difficult to navigate. Content was spread across different areas, some documentation was outdated, and the existing structure made it harder for users to find the information they needed.
Saturn Cloud also wanted to rethink the documentation experience, including its information architecture, navigation, and visual presentation. The documentation needed a clearer structure across the User Guide, Admin Guide, API Guide, and Release Notes.
At the same time, Saturn Cloud was expanding its library of ready-to-run templates, creating a need for broader and more consistent coverage of modern AI and GPU workflows.
The solution
Reclear worked with Saturn Cloud across two areas.
1. Restructuring and redesigning the documentation
We reorganized the documentation to create clearer content flows across the User Guide, Admin Guide, API Guide, and Release Notes.
The work focused on improving the information architecture, navigation, and overall presentation of the documentation so users could move more easily through Saturn Cloud's platform and its capabilities.
2. Building the template catalog
Reclear created and documented 50+ templates covering a range of AI and GPU-focused workflows.
The templates included use cases across:
- LLM deployment
- NLP and LLMs
- Deep learning
- Multimodal AI
- Machine learning
- MLOps
- NVIDIA NIM
- AI model deployment and serving
Each template provided a ready-to-run starting point for a specific workflow, giving users a practical way to get started without configuring the entire environment from scratch.
The result
The engagement gave Saturn Cloud a more structured documentation foundation and a significantly broader library of AI-focused templates.
50+ templates
A new collection of ready-to-run templates covering AI, ML, deployment, and GPU workflows.
Restructured documentation
A clearer information architecture across the User Guide, Admin Guide, API Guide, and Release Notes.
Broader AI coverage
Templates spanning LLMs, deep learning, multimodal AI, MLOps, model deployment, and NVIDIA NIM.
Better starting points for engineers
Users can move from discovering a workflow to launching a pre-configured environment designed for that use case.
The impact
Documentation and templates address two different parts of the developer experience.
The restructured documentation gives users a clearer way to understand and navigate Saturn Cloud, while the expanded template catalog gives them practical starting points for AI and GPU workloads.
Together, the work helped Saturn Cloud build a more consistent developer experience as its platform expanded around GPU infrastructure and AI workloads.