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GPU Servers for AI Inference and LLM Serving

Inference is usually limited by memory, not compute. The right GPU is the one that fits your model and its KV cache on the fewest cards.

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By the RentServers team at Wells Software Consulting LLC · Updated

Recommended setup

GPUH200 for 70B-class models; H100 for mid-size; L40S for 7B–13B and image generation
InterconnectNVLink within a node; multi-node fabric rarely needed
ScalingA reserved base plus on-demand for peaks
RegionClose to your users to cut latency

A 70B model in FP8 needs about 70 GB for weights alone. On an 80 GB H100 that leaves almost no room for KV cache, so you need two cards; on a 141 GB H200 it fits on one with room to spare.

Serving traffic is rarely flat. Reserve enough capacity for your baseline and burst onto on-demand GPUs for peaks.

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