Wekaio Upd -

Here was the magic trick: Weka separated the metadata (the "table of contents" telling where a file lives) from the data itself. Both were spread across all servers in the cluster. This meant there was no single "traffic cop" to get overwhelmed. When 10,000 servers asked for 10,000 different files, the system simply used all its brains at once.

Three seasoned engineers—Liran Zvibel, Omri Palmon, and Maor Ben-Dayan—understood the problem intimately. Having built storage systems at companies like XIV (acquired by IBM), they saw a fundamental flaw: legacy file systems (like NFS, Lustre, and GPFS) were designed for spinning hard drives, not the parallel speed of flash. wekaio

WekaIO, branded as , is a modern data platform designed to eliminate performance bottlenecks for data-intensive workloads like Artificial Intelligence (AI) , Machine Learning (ML), and high-performance computing (HPC). WekaFS™ for Weka AI™ Here was the magic trick: Weka separated the

On the other side, you had the "Storage": traditional hard drive systems and older network file systems. They were slow, clunky, and mechanical. When 10,000 servers asked for 10,000 different files,

: Uses a custom form of erasure coding , breaking files into chunks and spreading them across at least six nodes to ensure resilience. Key Use Cases and Performance

Enter and his co-founders in 2013.