Our training pods are engineered for maximum throughput on large language models, computer vision, and multi-modal AI workloads. Each configuration is validated for thermal performance, power delivery, and network topology.
Choose from pre-configured pods or work with our team to design a custom cluster that matches your training requirements and budget.
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Entry-level training pod for fine-tuning and research
Production training for 70B+ parameter models
Cost-effective alternative with massive memory
Pre-tested network and storage configurations optimized for distributed training frameworks (PyTorch, JAX, DeepSpeed).
Liquid or air cooling solutions designed for sustained 100% GPU utilization with proper airflow and redundancy.
Redundant PSUs and PDUs with proper circuit planning to handle peak power draw during training runs.
Optional white-glove installation, rack integration, and initial system validation at your facility.
Manufacturer warranty with expedited RMA process. We handle all vendor coordination and logistics.
Dropship from distributor or staged assembly and testing before delivery to your datacenter.
Our team can design a multi-node training cluster tailored to your model architecture, budget, and datacenter constraints.