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If you’ve been following the world of local LLM inference, you may have heard a common criticism of AMD’s Strix Halo platform: with 256 GB/s of memory bandwidth, it can run large language models, but don’t expect spectacular speeds There’s some truth to that—but only half the story. Hardware sets the limits. Software determines...

A 10× improvement in prefill speed and a 1.85× boost in decoding performance bring large-scale local AI inference to a new level. As AI models continue to scale into the hundreds of billions of parameters, running them efficiently on a desktop system remains a significant challenge. Large models demand substantial memory capacity, high bandwidth,...