在人工智能竞争日益激烈的当下，延迟和成本已成为制约大模型部署主要瓶颈。对此，加拿大AI芯片初创公司Taalas 近日推出了号称“可以将任何AI模型转换为定制ASIC芯片”的技术平台。其核心逻辑在于，将存储和计算统一在单芯片上，将特定大模型的神经网络映射到硅片电路中，在 DRAM 级密度下完成所有计算。Taalas表示，“通过消除内存-计算边界，并针对每个模型定制硅片，我们能够从根本重新设计整个硬件...
Source Link在人工智能竞争日益激烈的当下，延迟和成本已成为制约大模型部署主要瓶颈。对此，加拿大AI芯片初创公司Taalas 近日推出了号称“可以将任何AI模型转换为定制ASIC芯片”的技术平台。其核心逻辑在于，将存储和计算统一在单芯片上，将特定大模型的神经网络映射到硅片电路中，在 DRAM 级密度下完成所有计算。Taalas表示，“通过消除内存-计算边界，并针对每个模型定制硅片，我们能够从根本重新设计整个硬件...
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