Accelerated Cloud Storage

2 min read Original article ↗

Worldwide Cloud Storage

Object Storage for AI workloads

Globally Distributed, Performant, S3 Compatible Object Storage

Get Started in Minutes

Simple integration with your existing workflow

1

Contact ACS for sign-up and get an API Key

Reach out to our team to get onboarded and receive your credentials.

2

Make a 1-line change to your code

Update your endpoint configuration with ACS.

3

Set your API key and start running

Configure your credentials and begin using ACS with your existing S3-compatible tools.

Get Started Today

Frequently Asked Questions

Object storage is a data architecture that manages information as self-contained "objects" combining the payload, rich metadata, and a unique identifier. These objects live in a flat, massively scalable pool rather than hierarchical folders or fixed-size blocks, delivering high durability, API-friendly access, and cost-effective growth.

Yes you can storage unlimited amounts of data in ACS buckets safely. ACS uses enterprise-grade security controls, encrypts every object in transit and at rest, and adheres to SOC 2 Type II requirements. We also provide 99.999999999% durability plus contractual protections so customers retain uninterrupted access to their data.

ACS treats each bucket as a global entity. When you store data, it is cached, replicated, and moved across our worldwide data centers based on live usage patterns, keeping latency low for every region.

ACS is optimized for the access patterns of AI workloads: small random reads/writes and large sequential reads/writes. This ensures leading performance for fetching small dataset files or writing large checkpoints in training or reading small embeddings or loading large model weights during inference.

Pair ACS with your GPU cluster file systems to gain a secure, affordable, unified repository that offers effectively limitless capacity and fast access to training data across clusters worldwide.

ACS lets GPU cloud platforms avoid hyperscaler lock-in by moving data to whichever compute cluster needs it. That flexibility lowers overhead for training and inference, improves GPU utilization, and shortens recovery times.

ACS is fully S3-compatible, so you can keep using standard AWS SDKs, CLIs, and libraries. Any software that targets S3—such as LanceDB, FUSE mounts, or Apache Spark—works out of the box with only an endpoint change. See our docs for configuration details.

Reach out to our team to receive credentials, update your endpoint configuration, and begin using ACS with your existing S3-compatible stack. Our documentation and onboarding support keep the integration fast and low-risk.