Case Study: Grass Network scales AI dataset storage and retrieval with Backblaze

Grass Network scales AI datasets with Backblaze using 0 egress fees

Grass Network, a decentralized platform for ethically sourcing AI training data through a crowdsourced bandwidth network, faced a challenge with their previous cloud storage provider. High baseline storage costs, expensive egress fees, and data deletion fees made it difficult to be competitive for large enterprise prospects. This cost structure threatened their growth and led them to seek a new vendor, ultimately choosing Backblaze B2 Cloud Storage.

By implementing Backblaze B2 Cloud Storage, Grass Network gained a solution with high performance, S3 API compatibility, and a much more affordable model featuring free egress. This allowed them to support rapid daily uploads of 2-3 petabytes and egress tens of petabytes per month without cost, eliminating a major financial blocker. The partnership with Backblaze unlocked growth, enabling Grass to reinvest resources into product development and better compete in the AI data landscape.

Grass Network