Running AI at hyperscale isn't just a hardware problem. When 100 GPUs each hold 99% individual reliability, combined cluster reliability falls to roughly 36%.
Network bottlenecks, poor scheduling, and slow fault recovery erode the compute you're paying for. We address this across three layers.
We deploy AI-optimized network fabric combining the performance of InfiniBand with the openness and cost profile of Ethernet. Our DDC (Distributed Disaggregated Chassis) architecture supports up to 32,000 ports per cluster, delivers lossless failover in milliseconds, and avoids vendor lock-in.
Our cluster management platform runs 10,000+ GPU card environments across heterogeneous hardware from NVIDIA, AMD, Intel, and others — with AI-driven anomaly detection and self-healing reducing manual operations load.
Inference acceleration delivered as a managed service on top of raw compute. Our optimization layer targets LLM and diffusion workloads, and clients get lower cost-per-token without managing the stack themselves.
Our prefabrication model is supported by manufacturing management systems that coordinate factory integration, logistics, and on-site commissioning. This is what compresses the traditional 24-month data center build cycle to 6–9 months while holding Tier III/IV standards.