Resources

Corespan PRU 2500 with 8x RTX 5090 vs. an 8x B200 HGX Server

A practical capex, TCO, throughput, and utilization comparison of a Corespan PRU 2500 with 8x RTX 5090 GPUs versus an 8x B200 HGX server.

Architecture diagram showing CPU racks on the left connected through a central optical circuit switch to disaggregated GPU accelerator clusters and NVMe flash storage pools on the right, with high-speed optical interconnects carrying PCIe and RDMA traffic between the analog and digital optical domains.

From Server Silos to Resource Pooling: Why AI Infrastructure Needs a New Architecture

AI workloads have broken the fixed-server model. Resource pooling, optical switching, and PCIe over optical turn scarcity into a manageable, dynamic system.

Corespan’s Disaggregated NVMe Architecture Changes the Shape of AI Infrastructure

Corespan's disaggregated NVMe architecture delivers native PCIe Gen 5 over optics, letting hosts dynamically compose local storage from shared pools without SAN or NVMe-oF overhead.

Rack-Scale AI Inference Without the Data-Center Price Tag

Corespan pairs NVIDIA RTX PRO 6000 GPUs with DynamicXcelerator to deliver rack-scale AI inference with lower cost, higher utilization, and standard data-center deployment flexibility.

Industrial to digital evolution transition

The Hydraulic Evolution for AI Infrastructure

What Clayton Christensen’s steam shovels reveal about photonic switching, composable infrastructure, and why the next AI compute disruption may start far from hyperscale training clusters.