Use Case
Train frontier models without sharing the fabric
Multi-node clusters reserved for you alone, with the interconnect distributed training actually needs. No preemption, no spot evictions, nobody else's all-reduce in your fabric.
Multi-node clusters reserved for you alone, with the interconnect distributed training actually needs. No preemption, no spot evictions, nobody else's all-reduce in your fabric.
Non-blocking XDR InfiniBand at up to 800 Gb/s per GPU, with NVLink inside the rack. Gradients keep moving across thousands of GPUs at near-linear scaling efficiency.
Dedicated hardware means deterministic performance. Your training curves look the same on run one and run one hundred.
DDN EXAScaler parallel storage with GPUDirect. Checkpoints write fast and restore faster, so a failed run costs you minutes, not a day of GPU hours.
Your GPUs are yours for the whole campaign, with hot spares standing by, so a failed node or a firmware update never stalls the run.
Tell us what you're building. We'll scope the cluster, quote a fixed monthly number, and commit to a commissioning date in writing. Dedicated capacity takes a quarter or more to stand up. The difference with us is that you'll know exactly when yours arrives.