Model Architecture as Hardware: The Deep Logic Behind the Frozen v2 Chip

I noticed an interesting detail: Google isn't making a general-purpose AI accelerator this time; instead, they are directly "etching" the computational graph of the Gemini model into silicon. This reminds me of several hardware-model co-design papers I've been following recently. For example, that Stanford paper mapping Transformer attention mechanisms to dedicated analog circuits—although only verified in the lab, the principle indeed promises order-of-magnitude improvements in energy efficiency. If Frozen v2 is true, it represents the industrial-scale implementation of this approach.