🧵Akave & Filecoin: The Truth About AI Data Outbound Costs In short: AI storage costs skyrocket when data moves between different cloud platforms or regions. Akave uses Filecoin to provide models based on verifiable data and fixed rates, helping teams avoid exorbitant data migration costs. 1/ Hidden Costs Once storage and compute resources are located in different locations, outbound fees become a major expense. In the AI field, costs continuously increase as the same datasets need to be moved repeatedly between training and analysis paths. 2/ Multi-Cloud Transition Teams typically avoid transfer fees by keeping data within the same region. However, costs become apparent when transitioning to a multi-cloud or hybrid architecture. At this point, data migration needs to be budgeted separately. 3/ Current Market Standard rates for AWS or Azure start at approximately $0.09 per GB. These costs accumulate rapidly when AI pipelines require continuous access to data. 4/ Scaling Costs Frequent dataset reads and checkpoint recoveries can translate 10TB of storage into 47TB of data transfer per month. In a multi-cloud environment, outbound traffic alone can cost over $4,000 per month. 5/ Cost Evolution Teams typically go through several phases: ignoring small costs, listing transfer costs as an expense, trying to reduce costs, seeking discounts, and ultimately changing the entire cost model. 6/ Akave Solution Akave offers S3-compatible storage, starting at $14.99 per TB. Their model eliminates outbound traffic fees charged separately per GB, making data access more predictable. 7/ Real Savings Intuizi migrated its archive storage from AWS to Akave, reducing costs by over 50%. This clearly demonstrates how Filecoin's verifiable storage can handle massive data usage demands. Read the full article: