Hammerspace: 70% of enterprise AI projects die in the data layer

Hammerspace says roughly 70% of enterprise AI projects fail after the proof-of-concept stage due to duplicated infrastructure and data migration risks. Its fix relies on a global namespace built on the standard Linux NFS client already present in data centers.

• About 70% of enterprise AI projects never reach production after POC
• Causes: duplicated infrastructure, migration risk and business disruption
• Hammerspace pushes features into the Linux kernel, IETF and pNFS
• Migration becomes just changing a mount point