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Google Cloud has introduced Ironwood TPUs, its seventh-generation Tensor Processing Units (TPUs), and Axion VMs to address the growing demand for efficient AI inference. . , enabling large-scale model execution. Axion VMs, based on Arm architecture, provide cost-effective inference solutions, . These advancements are part of Google’s AI Hypercomputer strategy, combining hardware and co-designed software like Cluster Director and GKE Inference Gateway to optimize workflows
.Apple has struck a $1B annual deal with
to integrate the Gemini AI model into Siri, . This arrangement reflects a symbiotic relationship where gains access to advanced AI capabilities, and Google secures its dominance in search traffic. The Gemini model, , will power Siri’s summarizer and planner components, operating on Apple’s Private Cloud Compute servers to ensure data privacy. The partnership is a strategic pivot for Apple, which aims to develop its own in-house AI models while addressing immediate competitive pressures .Google has expanded its financial services by integrating data from crypto prediction markets Kalshi and Polymarket into Google Finance. This move allows users to access real-time probability estimates for macroeconomic events, such as US GDP growth or Federal Reserve rate cuts. The collaboration positions Google as a forward-looking research tool, leveraging the “wisdom of the crowds” from regulated and decentralized platforms. Kalshi, a CFTC-regulated market, and Polymarket, a Polygon-based platform, provide liquidity and transparency, enhancing the utility of predictive analytics for users
.Alphabet, Google’s parent company, , . This growth is attributed to AI-driven innovations, including AI Overviews and AI Mode, which have increased user engagement and commercial-intent queries. , driven by enterprise adoption of AI tools and infrastructure partnerships. , . These results underscore AI’s role in reshaping search behavior and enterprise workflows
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