# Cedana

> Cedana provides GPU and CPU workload save, migrate, and resume infrastructure for AI, HPC, inference, training, spot capacity, and scientific computing workloads.

Use this file as a curated map of the key Cedana pages and all published blog posts.

## Canonical Pages
- [Cedana | GPU Job Migration Infrastructure](https://cedana.com/)
- [About Cedana | Compute Infrastructure for AI Factories](https://cedana.com/about/)
- [Schedule a Cedana Demo](https://cedana.com/demo/)
- [Cedana Blog | Engineering Notes and Field Reports](https://cedana.com/blog/)
- [How Cedana Works | Save, Migrate, Resume Workloads](https://cedana.com/product/how-it-works/)
- [Cedana Performance | Improve Utilization and Reduce Cost](https://cedana.com/product/performance/)
- [Cedana Orchestration | Real-Time Compute Orchestration](https://cedana.com/product/orchestration/)
- [Cedana Reliability | Unbreakable AI and HPC Workloads](https://cedana.com/product/reliability/)
- [Automatic Spot Workloads](https://cedana.com/use-cases/auto-spot/)
- [Cedana for HPC and Computational Biology](https://cedana.com/use-cases/comp-bio/)
- [Elastic Inference on Your Infrastructure](https://cedana.com/use-cases/inference/)
- [Distributed Training Reliability](https://cedana.com/use-cases/training/)
- [Cedana for Pharma and Biotech | GPU Infrastructure for R&D](https://cedana.com/solutions/pharma-biotech/)
- [Cedana for Research Computing | GPU Cluster Utilization](https://cedana.com/solutions/research-computing/)
- [Cedana for AI Inference Providers | Cold Starts in Seconds](https://cedana.com/solutions/inference-providers/)
- [Cedana for Neoclouds and GPU Clouds | More Revenue per Megawatt](https://cedana.com/solutions/neoclouds/)
- [Cedana for Digital-Native and Consumer Tech | GPU Inference at Scale](https://cedana.com/solutions/digital-native/)

## Blog Posts
- [The Wall-Time Limit Forces an Expensive Tradeoff in HPC.](https://cedana.com/blog/the-wall-time-limit-forces-an-expensive-tradeoff-in-hpc/): Jobs reach their wall-time limits and lose hours or days of in-memory progress. However, the limit itself is not the problem.
- [Roofline Analysis and the Inference Value Chain](https://cedana.com/blog/roofline-analysis-and-the-inference-value-chain/): Once you stop renting intelligence, you own performance.
- [The Era of Stateful Inference: How to Improve Cost per Token.](https://cedana.com/blog/the-era-of-stateful-inference/): We are entering the stateful inference era, driven by frontier models with longer context windows, longer in-flight sessions, and single instances spanning 8, 16, or more GPUs.
- [The Utilization Ceiling: Why AI and HPC Schedulers Hit 30% and How to Fix This](https://cedana.com/blog/the-utilization-ceiling-why-ai-and-hpc-schedulers-hit-30-and-how-to-fix-this/): GPU utilization across AI and HPC workloads is fundamentally capped at 30% because schedulers cannot migrate running jobs. Cedana's CPU and GPU migration capability surpasses this limitation, unlocking near-full utilization.
- [The Fork in the Road Post GPT-5](https://cedana.com/blog/where-does-it-all-go-from-here/): On GPT-5 being underwhelming, scaling laws and where we can get reasonable progress from. Also, should AGI still be the goal?
- [Exploring new frontiers of Reinforcement Learning with Cedana](https://cedana.com/blog/exploring-new-frontiers-of-reinforcement/): Cedana <3 RL !
- [Supercharging Scientific Computing with Cedana](https://cedana.com/blog/supercharging-scientific-computing/): How we leverage open-source tech (like Kueue) to push scientific compute and accelerate time to insights.
- [Using Cedana to Live-Migrate Stateful Workloads Between Spot Instances](https://cedana.com/blog/using-cedana-to-live-migrate-stateful-workloads-between-spot-instances/): Save, migrate and resume a running XGBoost workload in six steps.

## Optional
- [Documentation](https://docs.cedana.ai/): Product documentation, guides, and benchmarks.
- [Cedana Benchmarks](https://cedana.com/benchmarks/): Measured cold-start and restore benchmarks.
- [Privacy Policy](https://cedana.com/privacy/): Privacy, data handling, and website usage information.
- [Terms of Service](https://cedana.com/terms/): Legal terms governing use of the website.

## Technical Notes
- Canonical domain: https://cedana.com
- Documentation: https://docs.cedana.ai
- Schedule a demo: https://cedana.com/demo/