Evaluating NVIDIA H200 GPUs for LLM inference

The NVIDIA H200 Tensor Core GPU is designed for AI workloads and offers more GPU memory and memory bandwidth compared to its sibling, the popular H100 GPU. While it's anticipated for training, fine-tuning, and other long-running AI tasks, testing shows that H200 GPUs are a good choice for large models, large batch sizes, and long input sequences in terms of inference tasks. However, outside these situations, they offer minimal performance improvements over H100 GPUs, making them less cost-efficient for many inference tasks. The GH200 GPU may offer stronger inference performance in more circumstances.