Reference Solutions
Reference patterns that can be adapted to workload, scale, budget, performance and operational requirements.
AI Lab
Combine workstations, GPU compute, high-speed networking, shared datasets, AI frameworks, monitoring and controlled user access.
AI Lab flow
AI Cluster flow
AI Cluster
Design around accelerator density, dataset throughput, multi-user scheduling, container runtime, monitoring and operational isolation.
Build an AI ClusterHPC Cluster
Typical designs include login and management nodes, compute nodes, Slurm or PBS, MPI/runtime stacks, shared storage, high-speed networking and monitoring.
Hybrid AI + HPC Cluster
Separate CPU and GPU partitions while sharing the right operational services, storage and high-speed fabric.
Datacenter / AI Factory
Plan compute, GPU, CPU, networking, storage, Linux, Kubernetes, schedulers, monitoring, automation and scientific applications as integrated layers.
Use the architecture wizard or send us your compute, storage and network requirements.