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Archil

Mount your cloud storage as a local filesystem for AI workloads.

Ops & Infracloud-storagefilesystemai-infrastructuretraining-datamodel-weightsdevopsmachine-learning
Archil screenshot

About

Archil is a cloud filesystem solution that lets users mount remote cloud storage as a local filesystem. It is designed specifically for AI use cases such as training data management, model weights storage, and agent workloads. The product bridges the gap between cloud storage and local filesystem access patterns.

Problem

Accessing and managing large cloud storage datasets and model weights efficiently for AI workloads requires complex tooling.

For

AI engineers and data scientists working with cloud storage for training and inference

How it works

Archil mounts cloud storage buckets as local filesystems, enabling standard file I/O access patterns for AI training and agent workloads.

Business model

unknown

Status

unknown

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