This post breaks down the key differences between NVIDIA’s flagship Hopper-architecture GPUs — the H100 and the next-gen H200. It highlights how the H200 takes a major step forward with significantly more memory (141 GB vs 80 GB) and higher bandwidth (up to 4.8 TB/s), making it a superior choice for large-scale AI training, inference, and high-performance computing tasks. Whether you’re deciding on the best GPU for LLM workloads, deep learning, or data center deployments, this comparison provides clear insights on performance, memory capacity, and real-world usage scenarios.