About Alluxio
Alluxio is a distributed caching platform designed for large-scale AI workloads. It acts as a high-throughput, low-latency cache positioned between compute resources and persistent storage, aiming to reduce data access bottlenecks.
The platform targets AI teams facing training delays, slow inference cold starts, and inefficient data movement. It is used by AI builders, platforms, and services, and can be deployed in multi-cloud environments.
Key features
- Distributed caching layer between compute and storage
- High-throughput, low-latency data access
- Write-back caching for checkpoint acceleration
- Sub-millisecond data access and terabyte-per-second throughput
- Supports multi-cloud GPU cluster deployments
Good fit for
- Model training acceleration
- Inference cold start reduction
- Feature store queries
Alluxio: questions and answers
- What is Alluxio used for?
- Alluxio is a distributed caching layer that sits between compute and persistent storage to improve I/O throughput and reduce latency for AI workloads. It is a good fit for model training acceleration, inference cold start reduction and feature store queries.
- Is Alluxio open source?
- Yes. Alluxio is open source under the Apache-2.0 licence. Its source code is on GitHub at Alluxio/alluxio and is written mainly in Java.
- Is Alluxio free?
- Yes. Alluxio is open source, so the software itself is free to use.
- Can I self-host Alluxio?
- Yes. Alluxio can be self-hosted on your own server or infrastructure.
- What is Alluxio an alternative to?
- Alluxio is an open-source alternative to Starburst. Other open-source alternatives to Starburst include ClickHouse, Apache Spark and Apache Doris.
- Is Alluxio actively maintained?
- Yes. The most recent commit to Alluxio was on 1 September 2026, and the latest release is v2.9.4, published on 11 June 2024. The project has 7.2k stars on GitHub.
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