Google introduced its seventh-generation TPU, Ironwood, at Cloud Next 25, touted as the most advanced custom AI accelerator aimed at inference workloads. This development emphasizes a shift towards proactive AI that generates and interprets data. Ironwood scales up dramatically, allowing connections between multiple chips via a high-bandwidth interconnect, thus supporting large language models and advanced reasoning tasks efficiently. The TPU significantly outperforms previous computing capacities, making it a powerful tool for developers in the emerging age of inference-driven AI.
Ironwood is designed to manage the computation and communication demands of large language models (LLMs), minimizing data movement and latency on-chip.
Ironwood is our most powerful, capable, and energy-efficient TPU yet, purpose-built to power thinking, inferential AI models at scale.
Developers can leverage Google's own Pathways software stack to utilize the combined computing power of tens of thousands of Ironwood TPUs.
Google emphasizes that Ironwood is designed to power what they call the 'age of inference,' marking a shift from responsive AI models to proactive models.
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