{"repo":"NVIDIA/aistore","free":true,"listed":false,"github":"https://github.com/NVIDIA/aistore","clone":"git clone https://github.com/NVIDIA/aistore.git","description":"AIStore: scalable storage for AI applications","language":"Go","stars":1914,"topics":["object-storage","etl-offload","linear-scalability","batch-jobs","kubernetes","distributed-storage","high-availability","high-performance","ml-training","multi-cloud"],"license":"MIT","category":"deployment-docker-iac","readme_excerpt":"AIStore: High-Performance, Scalable Storage for AI Workloads AIStore (AIS) is a lightweight distributed storage stack tailored for AI applications. It's an elastic cluster that can grow and shrink at runtime and can be ad-hoc deployed, with or without Kubernetes, anywhere from a single Linux machine to a bare-metal cluster of any size. Built from scratch, AIS provides linear scale-out, consistent performance, and a flexible deployment model. AIS is a reliable storage cluster that can natively operate on both in-cluster and remote data, without treating either as a cache. AIS consistently shows balanced I/O distribution and linear scalability across an arbitrary number of clustered nodes. The system supports fast data access, reliability, and rich customization for data transformation workloads. Features ✅ Multi-Cloud Access: Seamlessly access and manage content across multiple cloud backends (including AWS S3, GCS, Azure, and OCI), with fast-tier performance, configurable redundancy, and namespace-aware bucket identity (same-name buckets can coexist across accounts, endpoints, and providers). ✅ Deploy Anywhere: AIS runs on any Linux machine, virtual or physical. Deployment options range from a minimal container-based deployment and Google Colab to petascale Kubernetes clusters. There are no built-in limitations on deployment size or functionality. ✅ High Availability: Redundant control and data planes. Self-healing, end-to-end protection, n-way mirroring, and erasure coding. ","default_branch":null,"files":null,"tree":[],"storefront":"/r/NVIDIA","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/NVIDIA/aistore/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}