Ross ROSS = Recommend OSS · open-source software intelligence for agents

NVIDIA/aistore

AIStore: scalable storage for AI applications observed · 2026-08-28

github.com/NVIDIA/aistore · homepage · Go · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

95/100

  • Activity 99
  • Release rhythm 86
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 31.0
  • age_days: 3185
  • days_rel: 12
  • days_push: 7
  • n_releases_24m: 19

Full methodology

Adoption not part of the score

1915 stars · 283 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

AIStore (AIS) is a lightweight, distributed object storage stack built by NVIDIA specifically for AI workloads. It provides linear scalability, multi-cloud access (S3, GCS, Azure, OCI), S3-compatible API, ETL capabilities, and can be deployed anywhere from a single Linux machine to petascale Kubernetes clusters.

Use cases

  • store training datasets for ML models at scale
  • serve S3-compatible storage for AI pipelines
  • accelerate multi-cloud data access for deep learning
  • run ETL transformations on stored objects
  • deploy scalable storage on Kubernetes for AI clusters
  • batch download large datasets for model training

When to choose

  • you need high-performance storage optimized for ML training workloads
  • you want a single namespace across multiple cloud providers
  • you need linear scalability with erasure coding and mirroring
  • you want built-in ETL and batch object retrieval

When to avoid

  • you need a simple single-node file server
  • your workload is small and a plain S3 bucket suffices
  • you require POSIX filesystem semantics rather than object storage

Facets

service · maturity active

object-storage etl caching monitoring benchmarking machine-learning databases cloud-computing big-data self-hosted microservices go python self-hosted s3-compatible multi-cloud ai-workloads high-performance-storage erasure-coding pytorch-integration linux docker kubernetes

10 sources

Member repositories

RepositoryRoleHealth v2
NVIDIA/aistoremain95

For agents

markdown · JSON · MCP: product_card(name="NVIDIA/aistore")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem