DKubeX Overview¶
 
DKubeXTM is a Kubernetes-based AI platform supporting two main workflows: LLMOps and MLOps.
LLMOps Features:
- LLM Catalog: Access to multiple, ready to deploy open-source LLMs. 
- RAG: Build generative AI applications with your private data. 
- Fine-tuning: Train LLMs with your private data. 
- Serving: Deploy your custom, fine-tuned models on any of the LLMs provided in our catalog. 
- SecureLLM: Monitor requests & responses, collect RLHF data & track security & evaluation metrics. 
- SecureChat: Deploy multiple custom chat applications with any of the LLMs deployed on DKubeX. 
MLOps Features:
- Notebooks: Rapid experimentation with Jupyter, VSCode or R. 
- Pipeline Orchestration: Flyte or Kubeflow for streamlined workflows. 
- Training & Serving: Train & serve traditional ML models. 
Common Tools:
- Custom UI: Manage jobs and clusters through a user-friendly interface. 
- MLFlow: Track experiments and lineage. 
- Logs & Metrics UI: Troubleshoot workflows with custom logs and metrics. 
- Compute Resource Optimization: Optimize training/fine-tuning cost using SkyPilot. 
- Collaboration: Easily share workspaces between users. 
Quick Links¶
Explore the following sections to discover more about DKubeX and its features.
This will guide you through the installation of DKubeX.
A quick tutorial to get you started with DKubeX.
A detailed guide for the use of DKubeX admin features.
A full list of currently supported d3x commands is available here.
