dailyai.report

The Frozen v2 server chip targets a 6 to 10 times efficiency increase over current TPUs. By baking Gemini architecture directly into silicon, Google aims to slash inference costs by 2028. This hardware-level optimization creates a pricing advantage over competitors. It represents a strategic pivot toward specialized, model-specific silicon to reduce operational overhead.