Sovereign AI Infra, Deployed in Minutes
Deliver Private AI in your cloud organization. Everything in full control.
Integrated with cloud providers
The solution
Full Stack AI Infra
DAX
AIOps Infra as Code
Build compute for running AI at scale.
CLI or AI Agents
Deliver instances provisioning with self-service CLI or run by another AI agents via API call or build your own MCP.
Cost efficient
Run with spot instances, auto search available zone for GPU, auto shutdown, disk image-based cache and more.
Vibe friendly
Offers templating and override config to deal with complex requirement. Organized into YAML and Python files.
Built-in Tools
Wide-range automation from caching models, inferencing or run your custom docker on GPU instances.
How it works
DAX
Infra-as-Code to provision the entire AI stack inside your infrastructure. Scale any AI app and workload for internal or public access. Watch some features ⤵
DAGWork
AI Pipelines as Code
Deliver AI pipelines at light speed
Process any data
Fetch and process any data at local storage or provide GCS path, any multi-modal data, videos, text, parquet, audio and others files.
Run any codes
Simple drag and drop your notebooks, code, scripts or the github repo. Its ready to execute with no code-rewrites needed.
Containerized
Works with any dockers image. Provide best way to deal with complex tools dependencies, software versioning and debugging.
Auto-Provisioning
Integrated with DAX to provisioning the GPU compute for running the pipeline. Auto tear-down after task is completed.
How it works
DAGWork
Write a simple TOML file, then DAGWork will transform any code and dataset into AI pipelines automatically. See some features ⤵
AIOps in action
Real-world use cases
Here are examples on what you can do with DAX and DAGWork.
AI Agents Create VMs
Agentic workflows need compute to run tools, code, and long-running jobs. With DAX, agents can call infrastructure tools to deploy a VM on demand, use it for computation, and automatically destroy it when the task is finished.
AI Notebook Pipelines
Most task processing with AI coded in notebooks. DAGWork can quickly transform the notebook into AI pipelines that run on independent compute resources. Everything done with YAML.
Build AI Agents Swarm
Create an agent with its own models and harness system into single VM. Scale it into many agents with dedicated compute into multiple VMs. Spawning new Agent can takes just few minutes.
Start Your Enterprise AI
Make AI running under your control
DAX (Community Edition)
DAGWork (Community Edition)
DAX for Enterprise
DAGWork for Enterprise
Professional Services
Frequently Asked Questions
Answered all frequently asked questions, Still confused? feel free contact with us
Open-source AI models are now powerful enough for real business work. But downloading a model is not enough. To run it inside cloud organization, you need specialized AI infrastructure that can works with cloud GPUs system. Building that from scratch can take 9–18 months. Dagploy gives you production-ready AI infrastructure in hours, so you can run powerful open models securely inside your own cloud.
Ready to build your enterprise AI?
Build with Dagploy
Start your sovereign AI. Everything in your cloud infra