Infrastructure on StorageNews

Wasabi acquires Lyve: My take on S3 lock-in risks

Wed, 15 Apr 2026 00:00:00 +0000

Wasabi's acquisition of Lyve Cloud follows a fresh $70 million raise by L2 Point Management, signaling immediate market consolidation. This transaction definitively merges Seagate's enterprise cloud assets with Wasabi's infrastructure to challenge hyperscaler dominance in the independent storage sector.

Data sovereignty fails when US cloud controls metadata

Wed, 25 Mar 2026 00:00:00 +0000

Physical location in Europe fails to guarantee data sovereignty when US cloud providers retain control over metadata and backup architectures.

NetApp AIDE cuts AI vector storage growth by 20x

Thu, 19 Mar 2026 00:00:00 +0000

With analysts predicting 60% of AI projects will fail by 2027 due to unsupported data, NetApp AIDE offers the critical infrastructure fix. The core thesis is that enterprises cannot sustain agentic AI workflows without a unified platform that semantically enriches metadata in place rather than moving sensitive data.

Object storage limits scale more than GPUs

Wed, 18 Mar 2026 00:00:00 +0000

Object storage underpins 91% of private AI deployments, proving data fabric now limits scale more than GPUs. As AI initiatives shift from experimentation to operational reality, storage has evolved from a passive utility into the primary driver of project ROI and the critical bottleneck for sovereign AI.

Object storage truth: Why Reddit avoids directories

Sat, 14 Mar 2026 00:00:00 +0000

Twenty years after launch, Amazon S3 powers data lakes as massive as T-Mobile's 1.87 PB system. This endurance proves that object storage has evolved from a simple archival bin into the critical backbone of modern cloud infrastructure. While Werner Vogels admitted that making internet storage "simple" for users required immense engineering complexity, the result is a platform where 94% of organizations now rely on cloud services.

Data readiness bottlenecks: Why AI stalls

Thu, 19 Feb 2026 00:00:00 +0000

Early AI projects wasted 80 percent of budgets on compute while treating storage as an afterthought, a miscalculation HPE Storage leadership identifies as the primary cause of current production failures. The era of ignoring infrastructure constraints is over; data readiness has officially replaced model size as the critical bottleneck for enterprise artificial intelligence. As organizations attempt to scale beyond proof-of-concept trials, they are discovering that raw GPU power cannot compensate for fragmented, uncurated data ecosystems that choke inference pipelines.