Nexus Compute

H200 GPU Server

Expanded memory and bandwidth for the largest models and most demanding workloads.

Overview

The H200 GPU Server builds on the H100 architecture with substantially more memory and bandwidth, the difference that lets the largest models run on fewer nodes. Nexus Compute sources H200 systems for organizations whose model sizes or throughput requirements have outgrown the H100. The number that matters is 141GB against the H100's 80GB. That difference decides whether a large model fits on four GPUs instead of eight, or within one node instead of two, and removing a node boundary removes the fabric traffic, the parallelism complexity, and the failure domain that come with it. For inference the same expanded memory holds a far larger KV cache, so concurrency and context length can rise before you run out of room. The trade is that H200 nodes draw on the same allocation pool as other current-generation parts and are typically both scarcer and more expensive per GPU, so the case for them is strongest where the extra memory genuinely changes your topology rather than simply providing headroom.

Warranty & Support