Custom AI factories, engineered to specification.
Architecture
The most advanced AI locations share a common foundation, and ours are built to it from inception: ultra-high-density compute halls cooled directly at the chip rather than through air, engineered to the rack densities the latest accelerated hardware demands. Redundancy and concurrent maintainability run throughout, with independent power paths and isolated, single-tenant segments so each deployment is fully dedicated and protected. Nothing is retrofitted — designing for high-density AI from day one removes the cost and risk of adapting infrastructure built for something else.
Inside that shell sits a high-throughput, low-latency backbone engineered for AI and HPC end to end:
Compute — bare-metal access to the latest generation of accelerators, tuned for large-scale training, fine-tuning, and inference. The priority is GPU efficiency and utilization, so every node lowers cost per run and shortens the path from experiment to result.
Storage — parallel, AI-optimized storage tiers on GPU-tuned distributed file systems, delivering the predictable throughput that keeps accelerators fed and prevents the slowdowns that stall training runs and delay launches.
Networking — RDMA and InfiniBand fabrics with high-bandwidth GPU-to-GPU interconnects and multi-rack topology, so workloads scale from dozens to thousands of GPUs with no network bottleneck in the way.
