Labs & Systems
Build from a single scientific workstation through training labs, research clusters and shared AI/HPC environments.
GPU workstation for model development, visualization and local experimentation.
Request Configuration →High-core CPU workstation for engineering and scientific workloads.
Request Configuration →Rack server platform for accelerated AI and scientific compute.
Request Configuration →Compute-dense server for parallel and batch workloads.
Request Configuration →Shared data platform for lab and cluster workloads.
Request Configuration →Infrastructure services, monitoring and management workloads.
Request Configuration →Containerized application and GPU workload platform.
Request Configuration →Scheduler services and cluster resource control.
Request Configuration →Execution resource for scheduled scientific workloads.
Request Configuration →Accelerated scheduled compute for AI and GPU science.
Request Configuration →Multi-user infrastructure for engineering workloads.
Request Configuration →Collaborative GPU development and training environment.
Request Configuration →Teaching and hands-on cluster administration platform.
Request Configuration →Shared research infrastructure tailored to scientific workloads.
Request Configuration →Teaching + research computing with controlled multi-user access.
Request Configuration →Integrated compute, storage, network and scientific application stack.
Request Configuration →We can structure compute, storage, networking, operating systems, schedulers, users and scientific applications as one deployment scope.