Clusters & Data Centers
End-to-end cluster and data center solutions from architecture planning to rack integration, deployment, and support.
Solution Architectures
AI Training Clusters
GPU-dense racks for foundation model training, fine-tuning, and large-scale inference validation.
HPC Research Clusters
Balanced CPU, GPU, storage, and scheduling infrastructure for engineering and scientific workloads.
Private Data Centers
Procurement, integration, and deployment support for private AI and enterprise infrastructure.
Discovery and workload sizing
Validated bill of materials
Rack integration and burn-in
Deployment handoff and SLA plan
Industries
Built for data-center-scale workloads.
Healthcare
Accelerate medical imaging, genomics, and clinical AI on certified GPU infrastructure.
Finance
Run low-latency risk, fraud, and quant models on dense, reliable compute.
Research
Power simulation, modeling, and large-scale training across scientific domains.
Media & Rendering
Render, transcode, and generate at scale with GPU-optimized workstations and farms.
Engineering
Drive CFD, FEA, and digital-twin workloads on workload-tuned HPC systems.
Resources
Reference architectures & guides.
GPU server reference architectures
Validated NVIDIA HGX and PCIe configurations with power, cooling, and density specs.
DownloadWhitepaperScaling AI from desk to data center
A practical path from single workstation to multi-rack training clusters.
DownloadGuideChoosing the right accelerator
How to match NVIDIA, AMD, and Intel GPUs to training, inference, and HPC workloads.
ReadCase studyResearch lab HPC deployment
How a university cut training time with a certified multi-GPU cluster.
ReadPlan Your Cluster
Share your workload, timeline, and data center constraints. Exeton will help shape a practical architecture and deployment path.