Google Cloud Pushes Hard on AI Agents and Hardcore Computing
Google's got two new chips to build AI models and updates to the tech stacks businesses use to run AI.
Google Cloud has unveiled significant advancements in its AI technology stack, including two new chips for AI modeling and an enhanced Agent Development Kit. These developments coincide with the introduction of the Agentic Data Cloud, which aims to optimize data platforms for AI agents in enterprise settings. Meanwhile, Exabeam has extended its Agent Behavior Analytics capabilities to integrate seamlessly with Google Cloud's evolving AI agent ecosystem.
Google Cloud Pushes Hard on AI Agents and Hardcore Computing
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Google's got two new chips to build AI models and updates to the tech stacks businesses use to run AI.
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Google Cloud is redefining the enterprise AI landscape with tools designed to maximize the utility and effectiveness of AI agents in automated workflows, positioning itself as a leader in this emerging sector.
The launch of Deep Research and Deep Research Max underscores a strategic pivot for Google towards empowering enterprises with sophisticated research capabilities, positioning itself as a leader in the emerging category of autonomous research agents.
Multiple trusted reports are pointing to the same directional technology shift, suggesting the market should read this as a category signal rather than isolated headline activity.
Multiple trusted reports are pointing to the same directional technology shift, suggesting the market should read this as a category signal rather than isolated headline activity.