Case Study: Neysa Networks achieves faster, more reliable AI infrastructure with WEKA NeuralMesh

Neysa Networks cuts storage issues to zero for 6 months with WEKA

Neysa Networks, an AI cloud provider, faced storage bottlenecks as their high-performance GPU clusters scaled. Their open-source storage solution could not meet the demands of distributed AI workloads, which required consistent latency and predictable throughput. To address this challenge, they turned to vendor Weka and implemented their NeuralMesh product.

The solution from Weka, NeuralMesh, was a purpose-built, high-performance data layer that delivered low, consistent latency and near-linear scaling. This integration resulted in zero critical storage issues for six months, higher effective GPU utilization, and fewer stalled jobs. The measurable impact for Neysa was a rock-solid, reliable storage foundation that allowed them to confidently support their most demanding customers.

Neysa Networks