We're launching two specialized TPUs for the agentic era.
Google launches two specialized Tensor Processing Units (TPUs) designed for the 'agentic era' of AI, aiming to accelerate complex AI workloads.
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Google Cloud has signed a multi-billion-dollar deal with Mira Murati's Thinking Machines Lab for AI infrastructure powered by Nvidia's GB300 chips.
Why it matters
This deal signifies a major investment in AI infrastructure by a leading cloud provider (Google Cloud) and a prominent AI entity (Thinking Machines Lab). The reliance on cutting-edge Nvidia hardware highlights the escalating demand for powerful computing resources to train and deploy advanced AI models, indicating a significant push in the AI race and the growing importance of specialized AI hardware.
Google is giving a lot of money to a company called Thinking Machines Lab to use their super-powerful computers for AI. These computers use the newest chips from Nvidia, which are essential for building advanced AI.
Google launches two specialized Tensor Processing Units (TPUs) designed for the 'agentic era' of AI, aiming to accelerate complex AI workloads.
Read on Google AI Blog →Google Maps is integrating generative AI to enhance user experience.
Read on TechCrunch →Meta is using a new internal tool to collect employee keystrokes and mouse movements to train its AI models.
Read on TechCrunch →