NVIDIA H200 SXM Servers

The H200 represents a significant leap forward with 141GB of HBM3e memory (nearly 2x the H100's capacity) and 4.8TB/s memory bandwidth. This expanded memory is crucial for large language models and generative AI applications that require massive parameter sets. The H200 also features enhanced Tensor Cores optimized for FP8 precision, delivering superior performance per watt for both training and inference workloads. The SXM form factor ensures maximum GPU-to-GPU bandwidth through NVLink, essential for distributed training scenarios.

Our H200 servers include 1.5TB of DDR5 system RAM (24x 64GB modules @ 5600 MT/s). This massive system memory is critical for AI workloads that involve large dataset preprocessing, data augmentation, and maintaining multiple data pipelines in memory. When training large models, CPU memory acts as a staging area for data feeding into GPUs, and insufficient system memory creates bottlenecks that throttle GPU utilization. The 1.5TB configuration ensures your GPUs remain fully utilized even with the most demanding data pipelines.

Absolutely. The hardware architecture is designed for seamless clustering. Each server includes 8x 400G QSFP112 transceivers providing 3.2Tbps of aggregate networking bandwidth, specifically engineered for GPU-to-GPU communication across nodes. The 2x 100G transceivers handle storage and management traffic. Our networking infrastructure supports RDMA (Remote Direct Memory Access) for ultra-low latency inter-node communication, essential for distributed training frameworks like PyTorch FSDP and DeepSpeed. We can help design and deploy multi-rack GPU clusters with optimized fabric topology.

Every H200 server includes comprehensive enterprise support. The base configuration comes with 24x7 TAC (Technical Assistance Center) access with next calendar day hardware replacement. This means if a component fails, a replacement is dispatched the next business day. You also get Cisco Intersight SaaS management tools for remote monitoring, firmware updates, and health diagnostics. Our team provides tier-2 support for hardware issues, OS-level troubleshooting, and configuration assistance. For customers running mission-critical AI workloads, we offer enhanced SLA options with 4-hour response times.

The system includes 8x 7.6TB Kioxia CD8 High-Performance NVMe drives, delivering 61TB of total usable storage. These are enterprise-class, Gen5 NVMe drives with exceptional endurance ratings and consistent performance. Running across PCIe Gen5 lanes, the aggregate storage system can deliver multi-million IOPS and tens of GB/s sequential throughput—critical for feeding data to GPUs during training. This capacity supports large datasets, model checkpoints, and staging areas for data preprocessing. The drives can be configured in various RAID levels or used as individual volumes depending on your workflow requirements.

The UCS C885A M8 with H200 GPUs is a high-density system requiring appropriate data center infrastructure. Total system power draw under full load typically ranges from 8-10kW per server, depending on workload characteristics. Each server requires 8x C19/C20 power connections for redundant power distribution across multiple PSUs. From a cooling perspective, plan for significant BTU output—these systems require hot aisle/cold aisle configurations with adequate CFM and ideally operate in environments with 18-27°C ambient temperatures. We recommend rack-level power distribution units (PDUs) with at least 15kW capacity per rack and high-efficiency cooling infrastructure. Our team can assist with power and cooling assessments during deployment planning.