…The Samsung deployment highlights a demanding enterprise AI use case outside of model training clusters and general-purpose inference environments. Semiconductor manufacturing combines high data volume, specialized workflows, and little tolerance for…
…Nutanix framed this as an effort to improve data access and storage efficiency while simplifying operations as AI environments grow. Addressing Storage as a GPU Utilization Constraint As organizations build out “AI…
…Both companies believe AI factories are becoming key infrastructure for the global economy, as organizations increasingly require advanced systems to train, deploy, and operate AI models. They also indicated that building this…
…For inference workloads, particularly with tensor-parallel sharding inside a node and pipeline or data parallelism across nodes, this is workable. For tightly coupled training where all-reduce bandwidth dominates step time…
…These enhancements streamline data access for AI training, inference, and KV cache use cases while supporting analytics and cyber resilience workflows. The HPE Alletra Storage MP B10000 receives updates focused on performance…
…CPU Role Expands with AI and Data Center Orchestration AMD emphasized that CPUs remain central to modern AI infrastructure, even as accelerators handle model training and inference. In production environments, CPUs orchestrate…
Scality Introduces ADI Platform for AI-Driven, Sovereign Data Infrastructure by Harold Fritts on May 13, 2026 AI ◇ Enterprise Scality has announced Scality Autonomous Data Infrastructure (ADI), a platform aimed at enterprises…
…The company positions the move as a response to the changing nature of AI infrastructure, where data persistence is becoming as important as compute performance. Large AI data lakes supporting training, inference…
…There is also a broader strategic angle for SpaceX, as Industry chatter has suggested that AI data center capacity tied to Elon Musk’s companies, including xAI, may not have been fully…
…and storage, now extended with capabilities aligned with AI training and inference pipelines. NetApp highlighted that AI workloads are placing increasing demands on data infrastructure as IT teams are tasked with delivering…