
Ironwood is the seventh-generation Tensor Processing Unit (TPU) chip developed by Google and introduced at the Google Cloud Next 2025 event. Unlike previous TPU models designed primarily for training, Ironwood is specifically engineered for inference operations. It serves applications requiring high computational capacity such as large language models (LLMs), Mixture of Experts (MoE) architectures, and inference tasks. Technical Specifications Each Ironwood chip delivers 4.614 TFLOPS of processi
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Ömer Said Aydın

Ironwood, Google tarafından geliştirilen ve Google Cloud Next 2025 etkinliğinde tanıtılan yedinci nesil Tensör İşleme Birimi (Tensor Processing Unit, TPU) çipidir. Eğitim süreçlerine yönelik önceki TPU modellerinden farklı olarak, çıkarım işlemleri için özel olarak tasarlanmıştır. Ironwood, büyük dil modelleri (Large Language Models, LLM), uzman karışımı (Mixture of Experts – MoE) yapıları ve çıkarımsal görevler gibi yüksek hesaplama kapasitesi gerektiren uygulamalara hizmet etmektedir. Teknik Ö
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Ömer Said Aydın

Ironwood is the seventh-generation Tensor Processing Unit (TPU) chip developed by Google and unveiled at the Google Cloud Next 2025 event. Unlike previous TPU models designed for training workloads, Ironwood is specifically engineered for inference operations. It serves applications requiring high computational capacity such as Large Language Models (LLMs), Mixture of Experts (MoE) architectures, and inference tasks like. Technical Specifications Each Ironwood chip delivers 4.614 TFLOPS of proce
EN
Ömer Said Aydın