Unlimited scale within your budget.
With Storj, you can seamlessly expand your storage as models become more complex and demand grows while benefiting from predictable, low costs.
Storing and distributing large amounts of AI training data, models, and output can present storage and distribution challenges. Storj provides consistently high performance globally at a fraction of the cost of legacy, centralized cloud storage providers.
With Storj, you can seamlessly expand your storage as models become more complex and demand grows while benefiting from predictable, low costs.
Working with some of our partners including Hugging Face and VALDI, we've analyzed different data and distribution-heavy workloads of the generative AI space to compare the performance, cost and other factors involved in the storage and distribution of the required data. The math is pretty simple. And compelling. Storj customers are often able to shave a zero off of their cloud storage bills with high performance and security.
Read the reportInstead of building power-hungry data centers, Storj makes use of existing, unused hard drive capacity. Data is encrypted, split and distributed across tens of thousands of endpoints in 100+ countries. With no need for data centers, manufacturing hard drives or replicating data for multi-region access and durability, Storj is dramatically cleaner than traditional cloud storage -up to 83% cleaner.
Learn moreDiRAC is a multi-university research consortium working on high energy particle physics and cosmology that requires computer simulations on large scale supercomputers with a workflow that has to handle enormous datasets. The team needed to be able to store these high-value datasets on a long-term basis with high resilience. Plus, they needed to share them in a performant way with the globally disparate team. Storj fit their criteria.
Get in touch to learn how Storj can help you store massive datasets with better security and performance while saving 80% or more.