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The VRAM Wall: NVIDIA H200 vs. AMD MI325X for Massive LLMs

Deploying a 400-billion parameter model like Llama 4 or a 671B Mixture-of-Experts (MoE) architecture like DeepSeek exposes an immediate hardware bottleneck. At this extreme scale, inference relies on far more than raw computational force. Memory capacity and data bandwidth ultimately dictate whethe…

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  1. 2026-10-09 06:00 · DEV Community — Machine Learning
    The VRAM Wall: NVIDIA H200 vs. AMD MI325X for Massive LLMs

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