More memory and bandwidth for larger models, longer context windows, and demanding inference.
H200 SXM is a strong fit when model size or context length puts pressure on memory capacity. We scope the node, network, and storage around the workload rather than a fixed retail SKU.
GPU and node count
Start with the smallest footprint that meets the workload, then plan the expansion path.
Network and storage
Match fabric, bandwidth, and persistence to the way the workload reads and writes data.
Deployment window
Confirm when capacity can be available and what needs to happen before handoff.
Commercial terms
Document the duration, service scope, responsibilities, and price in a written quote.
Tell us the workload and target window. We will confirm whether this GPU family is the right fit, or recommend a different configuration.
Tell us the model, GPU count, deployment model, and timeline. We will confirm the right configuration and commercial path.
Request capacity