News reporting focused on AI and machine learning, covering the companies behind these technologies, their real-world applications, and the ethical concerns they raise. This includes areas like generative AI (large language models, text-to-image and video), speech tech, and predictive analytics.
Google and NVIDIA announced new hardware at Google Cloud Next to reduce AI inference costs at scale. A5X instances on Vera Rubin NVL72 systems deliver 10 times lower cost per token and higher throughput. Features include confidential computing, agent platforms, and manufacturing tools used by OpenAI, CrowdStrike, and others.
Google revealed several AI-driven enhancements to its Workspace productivity suite during Google Cloud Next. Key additions include Workspace Intelligence for task automation, Gemini-powered Google Sheets building and filling, and AI writing aids in Google Docs. These tools use user data from apps like Gmail and Drive to speed up common office work.
Google CEO Sundar Pichai announced the Gemini Enterprise Agent Platform at the Google Cloud Next conference. The tool targets IT and technical teams for building agents at scale, amid security concerns in enterprise AI. Business users turn to the separate Gemini Enterprise app for simpler tasks.
Google announced at Google Cloud Next plans to add auto browse agentic features to Chrome for enterprise users, powered by Gemini. The tool lets users handle web tasks like booking travel or entering data after reviewing AI suggestions. Security updates include detecting unsanctioned AI tools and shadow IT risks, with new partnerships and controls.
Google revealed its eighth-generation Tensor Processing Units at Cloud Next '26, splitting them into training and inference variants for better scale. The company also launched the Gemini Enterprise Agent Platform for building secure AI agents and Workspace Intelligence to link data across Workspace apps. These moves focus on agentic enterprise capabilities with massive clusters up to one million chips.