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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.

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Specifications

1 Usable storage is less than the raw capacity when configured as RAID. See RAID layout and throughput to learn about RAID configurations and their performance characteristics.

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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 June 23, 2026