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AI Training Clusters
Exeton designs AI training clusters around validated GPU platforms, high-throughput storage, and low-latency networking so teams can move from lab validation to production-scale training with fewer integration surprises.
GPU density
Up to 8 GPUs/node
Network
100G-400G fabric
Deployment
Rack integrated
Capabilities
GPU node selection and thermal planning
High-speed fabric design for training workloads
Parallel storage and dataset staging
Burn-in, cabling, labeling, and acceptance testing
Architecture
GPU compute nodes
Management and login nodes
Leaf-spine Ethernet or InfiniBand fabric
Parallel file system or NVMe storage tier
Outcomes
Reduced cluster bring-up time
Predictable scaling path for training teams
Documented bill of materials and rack layout
Build This Architecture
Talk with Exeton about sizing, procurement, integration, and support for your cluster or data center plan.