High impact
DeepX claims inference up to 100B parameters at less than 5 W
What happened
DeepX has taped out its second‑generation AI inference chip that can run models with up to 100 billion parameters while consuming less than 5 watts of power. The new design leverages LPDDR5X memory with processing‑in‑memory (PIM) techniques, delivering a 6‑7× performance boost over its first generation.
Why it matters
If the claims hold up, large‑scale AI models could be deployed on edge devices and in power‑constrained data‑center workloads, pushing the industry toward more energy‑efficient, PIM‑based accelerators.
Is this a big deal?
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