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Slash latency.

Access object data faster than ever before, slashing training and inference delays.
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Break bottlenecks.

Scale data access seamlessly, preventing slowdowns from large data sets or heavy demand.
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Process in real time.

Ensure continuous, low-latency data access to power time-sensitive applications.
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Cut costs.

Dramatically reduce costs by switching from costly mount tools and reducing use of SSDs.

The missing link in your AI/ML stack.

Object Mount bridges the painful gap between where your data lives and where your compute runs, giving teams fast access without staging or complexity.
Tested in real-world workloads, Object Mount delivers supercomputing-level performance—without sacrificing simplicity, scalability, or compatibility.
Mount object storage as a local file system for high-throughput AI/ML workflows. Skip the syncs and staging—just read and write data where it lives.
No gateways, proxies, or wrappers. Read and write native objects directly from your training, inference, or preprocessing workflows—no lock-in, no added complexity.
POSIX-compatible out of the box, so your AI/ML workloads can access object storage just like a local file system—no rewrites, no wrappers, no surprises.

AI/ML solutions powered by Object Mount.

Need speed? Object Mount helps AI/ML and HPC teams step on the gas with these powerful solutions.

Video and image analysis, fast.

Faster media analysis directly from object storage—no syncing or staging required.

Accelerated model training.

Faster iteration, better performance, less idle GPU time with direct access to training data.

High-speed video transcoding.

Transcoding without the typical staging, syncing, infra bloat, or costs.

Global pharma turns to Storj to speed up workflows by 5–19x.

Achieving up to 19× faster performance, a top 5 pharma company used Object Mount to eliminate staging delays and accelerate genomics workflows from object storage

Simple pricing.

Distributing data across tens of thousands of underutilized storage nodes costs less and eliminates the need for multi-region replication.

Bring your own storage.

Works with any S3-like storage. Cloud, on-prem, hybrid, multi-cloud.

Bring your own Lustre, or leave it.

Using FSx for Lustre? Object Mount replaces it. Still need Lustre? Object Mount integrates seamlessly.

Bring your own tools.

Works seamlessly with your favorite AI/ML tools, frameworks, and libraries.

Frequently asked questions.

Find answers to commonly asked questions regarding Object Mount for media and entertainment.

Does Object Mount compress or deduplicate the data?

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No, Object Mount does not compress or deduplicate data. This is an explicit design goal. Scrambling data–which is needed for compression/dedupe or requiring an S3-to-S3 gateway to translate between scrambled and unscrambled formats–produces unacceptably low performance and scalability. Instead, Storj maps files to objects in a 1-to-1 fashion that is both POSIX compatible and directly accessible on the S3 interface, delivering ultra-high performance.

Is Object Mount just a special shell?

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No, the Object Mount command merely enables its direct mode to intercept the user’s preferred shell, whether that is bash, zsh, csh, or something else. Tab completion and other actions are due to the support within the existing shell, rather than because of Object Mount doing something. Running commands like ls actually launches the unmodified ls binary installed on the system.




Does Object Mount work with software written in C/C++, Java, Python, Go, etc?

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Yes, Object Mount is designed to work with any software, including software that Storj customers have written. Note that some applications may parse URIs and treat them separately. In those cases, Storj recommends the use of path-style access. Alternatively, add the application to the uricompat option in Object Mount direct mode to intercept command line URI arguments.




Does Object Mount support Windows and Mac?

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Yes, Object Mount supports Windows, Mac, and Linux.

Does Object Mount work inside Docker, Kubernetes and Singularity containers?

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Yes, Object Mount can be used with containers in multiple ways:

(i) by mounting on the host and bind-mounting into the container,
(ii) by injecting the Object Mount library into an unmodified container Storj provides a seamless way to do this),
(iii) or by installing Object Mount inside the container.

For instructions specific to Docker and Singularity, please see the user guide. The CSI driver for Kubernetes is now available on request. Note that Object Mount does not require any special privileges to run inside a container.

Speak with an expert.

Free trials are available after a quick discussion on product fit.
Schedule a meeting