Entry Cluster
2–4 GPU servers interconnected via InfiniBand — ideal for teams beginning distributed AI training or moving workloads from single-node environments.
Multi-node GPU clusters built for large-scale AI training, distributed inference, and high-performance computing — fully isolated, privately operated, and managed by Archean Core AS.
Cluster Configurations
Archean Core designs, deploys, and manages GPU clusters of any size — from an initial 4-node training cluster to a private AI campus with hundreds of GPUs.
2–4 GPU servers interconnected via InfiniBand — ideal for teams beginning distributed AI training or moving workloads from single-node environments.
8–32 GPU servers with full InfiniBand fabric — capable of training models with tens of billions of parameters on your own private infrastructure.
64+ GPU servers forming a private AI supercomputer — designed for frontier model training, large-scale research, and GPU cloud provider infrastructure.
Purpose-designed network topology and hardware configuration tailored to your specific AI framework, model architecture, and parallelisation strategy.
High-throughput parallel file systems and NVMe-oF storage integrated directly into the cluster — eliminating storage bottlenecks in data-intensive training workloads.
Full cluster management including hardware monitoring, firmware updates, network configuration, and 24/7 infrastructure support — so your team focuses on AI, not operations.
Technology
Industry-standard RDMA networking delivering up to 400 Gb/s per port — the interconnect of choice for the world's fastest AI training clusters.
NVIDIA NVLink within each node and NVSwitch for all-to-all GPU communication — maximising bandwidth for large model parallelism.
Your cluster operates on a fully isolated network — no traffic from other customers, no shared switching, complete network privacy.
Build your cluster with H100, H200, B200, GB200, or any other GPU from the Archean Core portfolio — matched to your training and inference requirements.
Tell us your GPU count, workload type, and scaling plans — we'll architect the right cluster.