Resources

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Orchestrating the Next Generation of AI Infrastructure

Modern AI environments require real-time adaptability. Corespan Composer enables orchestration across composable resources, improving efficiency, scalability, and performance for AI and HPC workloads.

The Age of Scale Across and Aging GPUs

Scale-across GPU infrastructure enables organizations to redeploy aging accelerators into composable resource pools, increasing utilization, extending lifecycle, and supporting dynamic AI workloads.

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Before It Had a Name: Corespan Built Scale Across Early

Scale across gained attention in 2025, but Corespan had already built it—using photonic switching and PCIe over optics to create a unified, composable system across racks and data centers.

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GPU Utilization Challenges: Why AI Infrastructure Is Inefficient

Despite soaring demand for GPUs, many AI environments fail to use them efficiently. Static infrastructure, fragmented resources, and operational complexity often leave valuable compute power underutilized.

Disaggregated NVMe Scratch Pad: Breaking the GPU Memory Barrier

Corespan’s disaggregated NVMe scratch pad creates a shared, high-performance storage tier that extends GPU memory, enabling scalable AI workloads with better utilization and predictable performance.