Back to Gap Map Infrastructure / Storage & Retrieval

AIStore

NVIDIA
open source / Overall score: 2.8

AIStore is a distributed storage cluster built for AI workloads, presenting an S3-compatible object interface over local drives while also operating directly on remote cloud buckets. It scales out linearly, runs with or without Kubernetes, and offloads ETL and batch transformation into the storage layer so training jobs read transformed data in place. NVIDIA develops it.

Openness

5 high confidence
5.0
license
MIT(OSI)
source
public
core features withheld
no

MIT license body confirmed. The repository is public and unarchived and builds the whole product, and the README describes no paid tier, enterprise edition or license-gated build beside it, so source is public and the core ungated.

Adoption

2 low confidence
2.0

AIStore has no published deployment or cluster-usage figure, and its PyPI package measures only client-side installs rather than clusters running the storage system, so GitHub stars are the only adoption signal available. A star reflects developer interest rather than confirmed production use, so it cannot show how many clusters are actually running AIStore.

Capability

4 medium confidence
4.0

AIStore is a complete, distributed retrieval system: S3-compatible object storage with erasure coding, high availability, remote-bucket operation and in-cluster ETL, deployable from a single machine to a bare-metal cluster. Vespa remains a step ahead, covering more of the same persist-index-retrieve path across a wider range of retrieval modes.

Verified 2026-09-27