谷歌正秘密研发专用芯片Frozen v2，应对AI算力压力。该芯片将Gemini大模型底层计算逻辑直接固化于硬件，性能功耗比预计可达现役自研芯片的6至10倍。这种软硬融合的设计从架构上重塑算力生态，意在显著提升运算效率。
谷歌正研发代号Frozen v2的AI芯片，将Gemini模型的架构直接固化在硅片中，以省去部分算力与数据搬运，提升推理效率。与最新通用TPU相比，该芯片有望实现更高的能效比，更经济地运行大模型。
据The Information报道，Alphabet研发代号“Frozen v2”的AI芯片，为Gemini模型优化，预计2028年推出，每瓦生成token效率可能达现有芯片6-10倍。谷歌回应称项目未必量产。
Bigcode
$2
输入tokens/百万
-
输出tokens/百万
8
上下文长度
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