…the spinning-disk subsystem approached its practical performance ceiling under sustained concurrent database activity. Windows Server Shared Storage The second practical use case targets a different SMB workload pattern: Windows-based shared…
…At a high level, the joint effort targets a common enterprise challenge. Organizations want to apply AI to existing datasets, but data gravity, fragmentation, and migration overhead often slow adoption. NetApp and…
…Physics-based AI as a Surrogate to Accelerate CFD-driven Iteration The project targets a well-known constraint in motorsport and high-performance vehicle development: computational fluid dynamics (CFD) is accurate but…
…This performance advantage is a system-level outcome, driven by both the flash storage tier and Intel Xeon scalable processor technology, which manages the metadata-intensive workload required by recovery operations. Since…
…18, 2026 AI ◇ Enterprise Kicking off Dell Technologies World, Dell announced an expansion of the Dell AI Factory with NVIDIA. This broad update targets a familiar enterprise problem: moving AI projects from…
…Performance is based on PCIe Gen 4.0 NVMe technology, with Sandisk quoting sequential speeds of up to 7,300MB/s read and 6,600MB/s write, depending on capacity. For the…
…The deeper issue is utilization, and the culprit is data gravity.” Rethinking Data Placement for AI Workloads Traditional approaches to AI infrastructure co-locate storage with GPU clusters, often using high-performance…
…The 97% goodput target Google quotes for v8t pods depends on this infrastructure. The same OCS technology appears throughout the TPU stack: it stitches cubes into superpods at the ICI layer, connects…
…The 97% goodput target Google quotes for 8t pods depends on this infrastructure. The same OCS technology appears throughout the TPU stack: it stitches cubes into superpods at the ICI layer, connects…
…We took a look at the MI350X platform through Supermicro’s Jumpstart program and were genuinely impressed by its performance across inference workloads. We cannot wait to get the MI350P in for…