Google has introduced its latest Tensor Processing Unit (TPU) named Ironwood, which is specifically designed for inference tasks, focusing on reducing the costs associated with AI predictions for millions of users. This shift emphasizes the growing importance of inference in AI applications, as opposed to traditional training-focused chips, and aims to enhance performance and efficiency in AI infrastructure. Ironwood boasts significant technical advancements over its predecessor, Trillium, including higher memory capacity and improved data processing capabilities.

OpenAI has entered into a partnership with Google Cloud to meet its increasing computing demands, marking a surprising collaboration between two competitors in the AI space. This deal aims to diversify OpenAI's cloud resources beyond Microsoft, while also providing a boost to Google's cloud business amidst competition from AI startups.

Anthropic has partnered with Google to access up to one million Tensor Processing Units (TPUs) in a deal worth tens of billions of dollars, significantly expanding its AI compute capacity. The company, which has seen rapid revenue growth, leverages a multi-cloud architecture that includes partnerships with both Google and Amazon to optimize performance and cost, while maintaining control over its model and data.