Powered by a single NVIDIA GH200 Grace Hopper Superchip, this instance offers a unique architecture that combines a 72-core Grace CPU with a Hopper GPU. Its defining feature is the 576 GB unified memory pool (96 GB HBM3e + 480 GB LPDDR5X) connected via the high-speed NVLink-C2C interconnect. This design eliminates traditional PCIe bottlenecks and allows the GPU to access a massive memory space, making it unparalleled for running extremely large models on a single machine.
Specifications
| Feature | Detail |
|---|
| Category | Professional AI & Graphics |
| Instance ID | gd-1xgh200 |
| GPU | 1x NVIDIA GH200 Grace Hopper |
| GPU RAM | 96 GB |
| GPU Connectivity | PCIe |
| CPU Model | NVIDIA Grace Arm v9 (3.10 GHz) |
| vCPUs | 72 |
| RAM | 480 GB |
| Local Storage | 7.68 TB |
| Network Speed | Dual-port 100GbE |
| Availability | RNO2A
US-EAST-04A |
Primary use cases
Low-latency inference for models that are too large to fit in the memory of a standard GPU, large-scale graph analytics, and memory-intensive data science.
Recommended models
Inference on heavily quantized versions of modern state-of-the-art models (500B - 1T parameters) like Kimi K2.6, GLM 5.1, as well as moderately quantized versions of other large models such as DeepSeek V4 Flash and MiniMax-M2.7 in the 100B-500B parameter range. Last modified on May 12, 2026
