From technical capability to real-world application.
GPUCloud upgrades “data center management” to “compute operations”: it manages compute resources across vendors and chip architectures through four technical traits — cluster, distributed, heterogeneous and elastic — supports integrated training and inference, and underpins external operations with multi-tenant isolation, metering and full-link monitoring.
- ClusterA single node failure does not affect the overall service; overcommit and priority preemption are supported
- DistributedFailed nodes are automatically replaced and state is resynchronized without restarting the job from scratch
- ElasticOnline workloads and offline training run in off-peak shifts; preemptible instances lower overall TCO



