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AI · March 31, 2025

Cache for S3

Hey HN, AWS S3 Express One Zone promises improved latency and throughput but comes with several limitations including only being available in one availability zone and the directory bucket structure. We developed Accelerated Cloud Storage to offer an object storage system with high performance (up to 10X better than S3 Express One Zone in latency and throughput), strong consistency and global availability that scales and moves data based on demand. The service is accessible through an S3 compatible Go/Python SDK. ACS has enterprise-grade security compliance (SOC 2 Type 2 pending), and a…

Cache for S3 launched on March 31, 2025 with 8 votes, #3,486 of 7,215 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 1 year on.

What it does

We provide a high-performance object storage system is accessible through an S3 compatible Python SDK or file system mount. Improve performance and reduce cost for your data pipelines, GPU training jobs and inference workloads.

Globally distributed, performant, S3 compatible object storage for AI workloads

Work seamlessly with existing AWS SDKs with a one line code change. Up to 10X lower latency and 4X higher throughput than traditional object storage with consistent performance around the world. Store unlimited amounts of data in ACS buckets. Our elastic object storage grows on demand without capacity planning or data migration. 99.99% availability to ensure you can access your data whenever. 99.999999999% data durability to ensure your data isn't lost. Simplify development without sacrificing performance with strong consistency within a region and eventual consistency between regions. We implement enterprise-grade security measures, undergo regular security audits and your data remains…from acceleratedcloudstorage.com

In the maker’s words, at launch

With new GPU infrastructure clouds popping up everyday, the need for a globally available, S3 compatible, performant, cloud-native Object Storage product has become significant. Customers can access their data cheaply, quickly and easily in any cloud when using ACS.

Does a similar job

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  • CallFS – S3-style object store in one Go binary (MIT)2025 · github.com · ▲66

    We started CallFS after yet another late-night “why did the uploads vanish?” incident. Our small team had stitched together rsync, a fragile NFS mount, and an S3 bucket—none of it observable, all of it waiting to bite us. So we wrote a single-process file service in Go that: • Speaks the S3 API (so existing tooling works). • Stores hot data on local disks for speed; cold data can sit in any S3-compatible bucket. • Exposes Prometheus metrics and JSON logs by default, because “what happened?” shouldn’t be guesswork. • Ships as a ~25 MB static binary—no external deps, MIT license. Today it’s…

  • ZeroFS – A log-structured filesystem for S3Jul 2026 · zerofs.net · ▲128

    ZeroFS serves S3-compatible buckets as POSIX filesystems over NFS and 9P, or as raw block devices over NBD. Data is compressed and encrypted before upload.

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    Airbox: S3-Compatible Storage for the Masses. Ready in One Click.2021 · airbox.ai · ▲23

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  • Low-cost backup to S3 Glacier Deep Archive2022 · github.com · ▲120

    Hi, most people (hopefully) have local backups. However, when that backup fails, it is good to have a backup stored somewhere off-site. In the old days you would ship physical drives/tapes, which is cumbersome, costly, and slow. With fast upload speeds, it is now possible to upload your data to the cloud. I have found S3 Glacier Deep Archive to be a great solution for this: - It is very cheap ($1/TB/month for US region) - Very reliable (99.999999999% data durability, data spread over 3 Availability Zones) However, usability out of the box is not that great, I'm not aware of…

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