# Introduction

Valohai is a modular MLOps platform that orchestrates your ML workflows through configuration, without any invasive SDKs touching your code.

Run experiments on any infrastructure like AWS, Azure, GCP, Oracle, Snowflake, on-premises, Kubernetes, Slurm. Start where it hurts most (data versioning, pipelines, compute efficiency) and expand from there.

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## Already Running ML Somewhere?

**Valohai fits into your existing stack.**

We don't require rip-and-replace. If you're using MLflow, SageMaker, custom scripts, or Kubeflow—keep them. Valohai adds orchestration, reproducibility, and compute efficiency on top of what you already have.

* [Migrate your ML jobs to Valohai](https://docs.valohai.com/migration-strategy) — step-by-step guide
* [See how others migrated](https://docs.valohai.com/project-gallery) — YOLO, Mistral, MMDetection3D, and more

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## Start Building

### New to Valohai?

Get your first execution running in 10 minutes:

* [Quickstart: Hello World](https://docs.valohai.com/getting-started/quickstart)
* [Tutorial: Computer Vision Pipeline](https://docs.valohai.com/project-gallery/computer-vision)
* [Why YAML over SDK?](https://docs.valohai.com/readme/philosophy/yaml-over-sdk)

### Common Tasks

* [Run an execution](https://docs.valohai.com/executions/run-basic-execution)
* [Build a data pipeline](https://docs.valohai.com/getting-started/intro/pipelines)
* [Track experiments and metrics](https://docs.valohai.com/experiment-tracking)
* [Serving your models](https://docs.valohai.com/serving-your-models)

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## Example Projects

See Valohai in action with production-ready templates:

**Computer Vision**

* [YOLO Object Detection](https://docs.valohai.com/project-gallery/computer-vision/yolo-example) — train and deploy YOLOv8
* [MMDetection3D](https://docs.valohai.com/project-gallery/computer-vision/mmdetection3d-on-valohai) — 3D object detection pipelines

**NLP & LLM**

* [Mistral Fine-Tuning](https://docs.valohai.com/project-gallery/nlp-and-llm/mistral-example) — fine-tune LLMs with distributed training
* [RAG Documentation Assistant](https://docs.valohai.com/project-gallery/nlp-and-llm/rag-doc-example) — build a retrieval-augmented chatbot

**Audio & Data Engineering**

* [NVIDIA NeMo ASR Pipeline](https://docs.valohai.com/project-gallery/audio-and-speech/nvidia-nemo-valohai)
* [Snowflake ML with Snowpark](https://docs.valohai.com/project-gallery/data-engineering-and-etl/snowpark-example)

[Browse all examples →](https://docs.valohai.com/project-gallery)

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## Learn the Platform

### Core Concepts

Understand how Valohai works and why it's built this way:

* [Docker in Valohai](https://docs.valohai.com/docker-in-valohai) — bring your own images
* [Data Versioning](https://docs.valohai.com/models/artifacts-and-versioning) — automatic lineage and caching
* [Pipelines](https://docs.valohai.com/pipelines) — chain jobs with dependency graphs
* [Reproducibility by Default](https://docs.valohai.com/readme/philosophy/reproducibility-by-default) — every run is traceable

### How-To Guides

Task-focused instructions for specific workflows:

* [Configure execution environments](https://docs.valohai.com/executions)
* [Use spot instances](https://docs.valohai.com/executions/advanced-features/spot-instances)
* [Debug failed pipelines](https://docs.valohai.com/pipelines/debug-failed-pipeline)
* [Set up private Docker registries](https://docs.valohai.com/docker-in-valohai/private-docker-registries)

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## Get Help

* **Need support?** [support.valohai.com](https://support.valohai.com)
* **Want training?** 🎓 [Valohai Academy](https://learn.valohai.academy)
* **See what's new?** 🆕 [Changelog](https://docs.valohai.com/changelog)