Powered by eight NVIDIA H200 Hopper GPUs, each equipped with 141 GB of ultra-fast HBM3e memory, these instances are purpose-built for memory-intensive AI and HPC workloads. The significant memory per GPU allows for training larger models with bigger batch sizes and longer context windows compared to its predecessor. The GPUs are interconnected with NVIDIA NVLink for a high-speed, unified memory pool within the server. For clustering, they feature NVIDIA ConnectX-7 adapters providing a 400G NDR InfiniBand fabric, making them ideal for large, distributed training jobs that are memory-bound.Documentation Index
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Specifications
| Feature | Detail |
|---|---|
| Category | Mid-large Size Model Training & Inference |
| Instance ID | gd-8xh200ib-i128 |
| GPU | 8x NVIDIA H200 |
| GPU RAM | 141 GB |
| GPU Connectivity | InfiniBand & NVLink |
| CPU Model | Intel Emerald Rapids 8562Y+ (2.80 GHz) |
| vCPUs | 128 |
| RAM | 2048 GB |
| Local Storage | 61.44 TB |
| Network Speed | Dual-port 100GbE |
| Availability | EU-SOUTH-03B US-EAST-01A US-EAST-02A US-EAST-04A US-EAST-08A US-WEST-04A |