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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.