JuiceFS is a high-performance distributed file system designed for the cloud. And JuiceFS Cloud Service is a SaaS (Software-as-a-Service) solution provided by Juicedata. Unlike the open-source edition of JuiceFS, it is shipped with an in-house developed, high-performance metadata engine, so your team can use and manage JuiceFS storage more easily.
JuiceFS is designed for high-performance computing needs, commonly utilized in AI & machine learning for training, inference, model distribution, as well as in big data processing and analysis. Within industries such as generative AI, autonomous driving, quantitative trading, and bioinformatics, JuiceFS serves as a unified storage solution in users' data pipelines. It efficiently manages column-based structured data, semi-structured data like CSV and JSON, and various forms of unstructured data used for computation, including videos, images, and audio files.
JuiceFS separates "data" and "metadata" storage. Files are split into chunks and stored in Amazon S3 to enhance storage performance, while metadata (directories,file names) is stored in our fully managed service. The built-in caching capabilities of JuiceFS can significantly improve I/O throughput by utilizing the local storage of computing nodes, while also substantially reducing the bandwidth overhead of S3. With full POSIX compatibility, it enables S3 to be utilized as massive local disks, allowing them to be mounted and accessed on different hosts across platforms and regions.
Highlights
JuiceFS provides interfaces compatible with POSIX, HDFS, and S3, serving as a unified storage solution for AI job pipelines, thereby reducing unnecessary data copying and migration efforts.
JuiceFS enhances I/O efficiency through caching, prefetching, and concurrent reading. Its high-performance metadata service efficiently manages millions of requests per second, ensuring response times from milliseconds to hundreds of microseconds. For read-intensive tasks like model training, it uses multi-level caching to speed up data access, scaling read throughput to hundreds of gigabytes per second.
The metadata service and object storage of JuiceFS can meet the concurrent demands of thousands to tens of thousands of clients. The automatic caching feature of the JuiceFS client can significantly reduce the load on the metadata service and object storage during model training, further enhancing the overall capacity of the storage system.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
This listing offers one pricing option, the Professional plan. You pay per gibibyte (GiB) of stored data each month, so your cost scales with how much data you keep. This is a usage-based, pay-as-you-go model with no upfront commitment. The plan supports storage up to 10 PiB, 100 million inodes (file and directory records), and 1,000 connected clients. As your storage grows, your monthly charge grows in proportion. There are no separate tiers or instance sizes to choose between.
Top-of-mind questions for buyers
What counts toward the per-GiB monthly charge, and how is stored data measured?
You pay per gibibyte (GiB) of data stored each month. This is a pay-as-you-go model with no upfront commitment. The service splits files into chunks stored in object storage, while metadata like directories and file names is tracked separately. Your monthly charge scales with total stored data.
What do the 100 million inodes and 1,000 clients limits mean for my usage?
Inodes are records for individual files and directories, so 100 million inodes caps how many files you can track. The 1,000 clients limit sets how many servers or machines can mount and access the file system at once. These are usage ceilings, not extra billed metrics.
Does my bill change if data volume stays flat but access activity rises?
The charge is based only on stored data per GiB per month. Metadata operations, read and write activity, and the number of connected clients within the limits do not add separate line items. Your monthly cost changes only when the amount of stored data changes.
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