Skip to main content
These instances are powered by eight NVIDIA H100 Hopper GPUs, each with 80 GB of HBM3 memory. As the industry-defining accelerator of the previous generation, the H100 remains a powerful and reliable workhorse for a wide range of large-scale AI workloads. GPUs are fully connected with NVLink, and Nodes are linked with a 400G NDR InfiniBand fabric, providing a robust architecture for distributed training and inference.

​
Specifications

FeatureDetail
CategoryMid-large Size Model Training & Inference
Instance IDgd-8xh100ib-i128
GPU8x NVIDIA H100
GPU RAM80 GB
GPU ConnectivityInfiniBand & NVLink
CPU ModelIntel Sapphire Rapids 8462Y+ (2.80 GHz)
vCPUs128
RAM2048 GB
Local Storage61.44 TB
Network SpeedDual-port 100GbE
AvailabilityRNO2A
US-EAST-01A
US-EAST-04A
US-EAST-06A
US-WEST-01A
US-WEST-04A
US-WEST-09B

​
Primary use cases

Large-scale AI training, high-performance inference serving, and a wide variety of HPC simulations. Quantized versions of the latest open-source models such as DeepSeek V4 Flash, Qwen 3.5 397B-A17B, Kimi K2.6, MiniMax M2.7 and other large models requiring substantial GPU memory for a single Node through the use of tensor parallelism.
Last modified on May 12, 2026