Introduction
NevTan Cloud is one dashboard for shipping apps, databases, and AI — from a git push to a running fine-tuned model.
One account, one console, one bill — for everything it takes to ship a modern application.
Most teams stitch together a hosting provider, a database vendor, a GPU rental service, and a separate AI platform just to ship one product. NevTan folds all of it into a single dashboard: the same account that deploys your app can spin up a database, launch a GPU, fine-tune a model, and query a RAG collection — all by clicking through the console. There is one place to manage everything, one usage-based bill, and one consistent way projects, resources, and teammates fit together across the whole platform.
What you can build
Deploy any repo — Next.js, FastAPI, Go, Docker — with auto-deploy, custom domains, and zero-downtime rollouts.
Managed PostgreSQL, MySQL, MongoDB, and Redis with trusted-source allowlists and daily backups.
Chat, embeddings, images, and audio models you can try instantly in the Playground.
Train LoRA / QLoRA / full fine-tunes on real GPUs and deploy the result as a running model.
Collections, document ingestion, hybrid search, and retrieval-augmented answers.
On-demand H100 / A100 GPUs from a global compute network, provisioned from the console.
The mental model: projects, not servers
Everything on NevTan lives inside a project you create, configure, and manage from the dashboard — an app, a database, a collection, an agent, a GPU instance. You never think about the machine underneath; you describe what you want (a repo to build, a model to serve, a database engine and version) and NevTan turns it into a running thing with a status you can watch in real time. That is why the same actions — create, view, update, remove — show up again and again across very different features.
How a typical app comes together
A project on App Platform gives you the public URL and the running container. Databases, Vector RAG collections, and AI models attach to that project the same way any managed service would — configured once from the console, then just working. Nothing about App Platform is special-cased for NevTan's own AI features; they compose like any other resource in your account.
Picture a support-ticket triage app: deploy the repo on App Platform, create a Postgres database for ticket records, add a Vector RAG collection over your help-center docs so the app can answer from your own content, and point it at a chat model in Inference — four projects, four dashboard walkthroughs, one bill. None of them require a second account, a separate vendor, or any code that talks to NevTan itself.