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AMD’s MI300X Outperforms NVIDIA’s H100 for LLM Inference

There has been much anticipation around AMD’s flagship MI300X accelerator. With unmatched raw specs, the pressing question remains: Can it outperform NVIDIA’s Hopper architecture in real-world AI workloads? We have some exciting early results to share. For the past month, TensorWave and MK1 have worked closely to unlock performance of AMD hardware for AI inference. To start, we focused on Mixture of Expert (MoE) architectures due to their compute efficiency and popularity – notably used by Mistr...

Read more at blog.tensorwave.com

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