Scaling Storage for Crowdsourced AI Datasets with Grass

Article February 28, 2025

As Grass continues its rapid expansion, the network is scaling to petabyte-level data retrieval while vertically integrating infrastructure across every layer of the stack. To meet the demands of a decentralized AI-driven future, efficient storage solutions are critical. That's where Backblaze comes in.

Eliminating Storage Bottlenecks

Grass generates and processes vast amounts of multimodal data, requiring a storage solution that is both high-speed and cost-efficient. By leveraging Backblaze's cloud storage, Grass can store and retrieve massive datasets without the risk of bottlenecks, ensuring seamless access as network demands scale.

With Backblaze's scalable and affordable infrastructure, Grass has optimized storage efficiency, allowing for uninterrupted data flow across its network. This ensures that AI-driven insights can be generated in real time, without latency or data retrieval issues slowing down the process.

The Power of Crowdsourced Bandwidth

Grass is redefining how AI datasets are built by utilizing crowdsourced bandwidth from its global community. This decentralized approach to data collection requires a storage backbone capable of keeping up with ever-growing demand. By integrating Backblaze's storage into its system, Grass has successfully eliminated the traditional barriers associated with handling large-scale AI datasets.

How it Works

With 3 million users, Grass effectively has a network of 3 million nodes worldwide with a network bandwidth of around 100 Gbits per second and growing. These nodes receive web requests from Grass' validators and scrape data from websites by passing these requests through as normal traffic.

The scraped data is then sent back to Grass' servers where it is cleaned and reformatted before being stored on Backblaze. This ethically sourced, massive dataset is then curated by Grass and sold to enterprises for AI training and other data-driven applications.

Looking Ahead

As Grass continues to push the boundaries of decentralized AI infrastructure, its partnership with Backblaze represents a significant step forward in scalability, reliability, and efficiency. This collaboration ensures that Grass can keep up with the explosive growth of AI-driven data collection while maintaining the seamless performance users expect.

See how Grass cut through the weeds to scale storage for datasets built using crowdsourced bandwidth.

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