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HPC Research Clusters
Research teams need repeatable performance, queue reliability, and storage throughput. Exeton combines compute nodes, accelerators, schedulers, and storage into an architecture tuned to the application mix.
Workloads
CAE, CFD, EDA, ML
Compute
CPU and GPU nodes
Storage
Shared high I/O
Capabilities
CPU and memory sizing by solver profile
GPU acceleration planning for mixed workloads
Scheduler-ready compute and login topology
Storage tiering for scratch, project, and archive data
Architecture
Login and management nodes
CPU compute partitions
GPU acceleration partitions
Shared storage and backup tier
Outcomes
Clear partitioning for multiple research teams
Simpler expansion by node class
Validated infrastructure before delivery
Build This Architecture
Talk with Exeton about sizing, procurement, integration, and support for your cluster or data center plan.