Case Studies
AI Clusters
Multi-node GPU clusters with high-speed interconnects enabling distributed AI training at scale.
National Research Lab GPU Cluster
512-GPU NVIDIA DGX cluster for climate modeling and scientific research.
Challenge
Research lab needed a world-class supercomputing facility to run complex climate simulations and AI models.
Solution
Designed and deployed a 64-node DGX H100 cluster with HDR InfiniBand fabric and Lustre parallel file system.
Results
AI Research University Cluster
Multi-tenant GPU cluster supporting thousands of researchers across multiple departments.
Challenge
University needed shared GPU infrastructure that could support diverse workloads from multiple research groups.
Solution
Built a 128-GPU shared cluster with fair-share scheduling, resource quotas, and JupyterHub integration.
Results
Enterprise LLM Training Cluster
Large-scale GPU cluster for training proprietary large language models.
Challenge
Client required massive compute capacity with high reliability for training multi-billion parameter models.
Solution
Deployed a 1,024-GPU H100 cluster with liquid cooling and custom networking for optimal training performance.
Results
Build Your AI Cluster
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