Compute Orchestration System for the Inference Era
Powered by deep software integration across GPUs, server kernels, photonic interconnects, and control systems, Corespan Systems orchestrates resources around workloads for maximum utilization.
PRU 2500 with 5090
The PRU 2500 with 5090 combines the PRU 2500, 8 to 10 NVIDIA GeForce RTX 5090 GPUs, hybrid liquid cooling, FIC 2500 connectivity, and Corespan software into a dense, composable platform for AI inference. Instead of binding GPUs to fixed servers, it turns them into a shared resource pool that can be dynamically assigned to standard hosts and consumed through familiar Docker and Kubernetes workflows. Built for neocloud providers and enterprise AI environments, the system is designed to improve GPU utilization, reduce stranded capacity, and simplify deployment of high-density inference infrastructure.
Our Solutions: AI-ready, photonic-native, composable infrastructure
DynamicXcelerator
DynamicXcelerator is an infrastructure composition system that virtualizes and disaggregates GPUs for more flexible allocation, better utilization, and right-sized AI environments.
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Corespan 2500 Series
The Corespan 2500 Series is a photonic-native platform for scale-across infrastructure, combining high-performance interconnect, pooled resources, and system-level flexibility.
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From dense PCIe resource infrastructure to software-defined composition, Corespan products work together to turn fixed hardware boundaries into adaptable, workload-driven systems.
Photonic Resource Unit (PRU) 2500
High-density PCIe Gen5 chassis enabling composable, photonic-connected pools of GPUs, storage, and PCIe resources for AI, HPC, and accelerated workloads.
About Corespan
We’re here to make high-performance infrastructure easier. With Corespan, you can compose and allocate resources in real time, reduce stranded capacity, and match infrastructure more closely to real workload demand.
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Insights & Resources
The Mercury Rack: One Rack, Every GPU, Yours to Compose
72 double-wide PCIe Gen5 slots, any vendor's accelerators, 1.2 PB of composable NVMe per PRU, and 111 kW in a standard air-cooled 48U rack. The Mercury Rack makes the compute-to-storage ratio a scheduling decision instead of a purchasing one.
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Scale-Across: The Architecture the Inference Era Actually Needs
The inference era is being scored on the wrong metric. Scale-across composes GPUs, memory, and I/O per workload — then reclaims it — so operators stop paying peak-case prices for average-case demand.
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In the Lab: Graid Technology SupremeRAID™ on Corespan's Photonic PCIe Fabric
A direct, evidence-first field note: Graid Technology SupremeRAID™ running GPU-accelerated RAID 6 parity over Corespan's photonic PCIe fabric — 43 GB/s read bandwidth, 117 µs p99.99 latency, zero PCIe errors.
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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.
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Frontier Intelligence on Gaming Silicon: Why the PRU 2500 Turns RTX 5090 Fleets into Real AI Infrastructure
Kimi K3 running on 80× RTX 5090s proved a frontier open model no longer needs HBM. The harder problem is turning 80 gaming cards into a production service — composed, cooled, and orchestrated. That is what the PRU 2500 is for.
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Optimize Your GPU Investment. Request a Consultation
Maximize utilization, reduce stranded capacity, and align resources more closely to workload demand with photonic-native scale-across infrastructure.