01
Compute
Start with the right foundation.
Explore shared GPUs, dedicated instances, and bare metal. Choose the setup that fits your workload before committing to capacity.
Shared GPU / Dedicated / Bare metal
Explore compute A workspace for private AI
Your AI.
Your infrastructure.
Bring your data, models, and compute into one workspace. Less time connecting tools. More time building something useful.
Start with a project. Build from there.
THE NEVASTACK WORKSPACEInteractive preview
Projects
A little structure. A lot less overhead.
| Project | Approach | Status |
|---|---|---|
Customer supportHelp center & product guides | Retrieval | Ready |
Internal knowledgeCompany handbook & processes | RAG | In review |
Document extractionStructured data from documents | Fine-tuning | Draft |
Everything has a place.
Data, experiments, and deployments. Connected by project.
Sample data · Product preview3 projects
One place for the whole project.Take a closer look
Built for teams that want more control.
Your own data
Your choice of models
Your compute setup
01 / The platform
The pieces belong together.
Infrastructure is already complicated.
Your workflow doesn’t have to be.
02
Training
Make the model fit the work.
Compare retrieval, fine-tuning, and full training. Keep your datasets, experiments, and artifacts together as your project takes shape.
RAG / Fine-tuning / LoRA
Explore training03
Inference
Give every model a home.
Organize your deployments, API keys, and usage in the same workspace. Plan an integration around the OpenAI-compatible API format.
Deployments / API keys / Usage
Explore inference02 / A clearer workflow
Keep the context.
Lose the handoffs.
A dataset in one tool. A training run in another. Deployment details in a spreadsheet. It shouldn’t take detective work to understand your own project.
Nevastack gives the work a shared home, from the first dataset to the deployment plan.
Start a project- 01 / ORGANIZE
Give the work a home.
Create a project for your use case. Keep its data, resources, and decisions together.
- 02 / ADAPT
Choose an approach.
Explore retrieval or training based on what your application actually needs.
- 03 / MANAGE
Keep the details in view.
Track deployments, manage keys, and review usage without leaving the workspace.
03 / Our approach
Start with the problem.
Then pick the model.
Sometimes retrieval is enough. Sometimes a smaller, adapted model is the better fit. We think the right infrastructure starts with understanding what you’re building.
Tell us about your use caseMake room for
your next idea.
Your first project starts here.
Open the console Or read the documentation