Solutions for Every AI Workload
Pre-configured GPU systems and rack-scale deployments optimized for training, inference, and production AI workloads.
Training Pods
Multi-GPU servers optimized for LLM training and fine-tuning
Configuration
- ✓4-8x H100/H200/B200 GPUs
- ✓NVLink/NVSwitch fabric
- ✓Dual AMD EPYC CPUs
- ✓2TB+ DDR5 RAM
- ✓100Gbps+ networking
Performance
Up to 32 petaFLOPS FP8 per node
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8x GPU SERVERInference Nodes
High-throughput workstations for production AI inference
Configuration
- ✓1-4x L40S or RTX 6000 Ada
- ✓PCIe Gen5 connectivity
- ✓Intel Xeon or AMD Threadripper
- ✓128-512GB RAM
- ✓NVMe storage arrays
Performance
1000+ tokens/sec for 70B models
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H100 80GB HBM3Rack Systems
Complete rack-scale deployments with power, cooling, and networking
Configuration
- ✓42U or 48U racks
- ✓Redundant PDUs (208V/240V)
- ✓Hot-aisle containment ready
- ✓Cable management
- ✓Optional liquid cooling
Performance
Up to 200kW per rack
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400G SWITCHNeed a Custom Configuration?
Our team can design a solution tailored to your specific workload and budget.