In today’s Cloud Wars Minute, I break down how Google’s new Gemini 3 Flash delivers near-real-time AI performance with the speed, scale, and cost efficiency enterprises need as AI moves from Q&A to action.

Highlights

00:03 — Google has expanded its Gemini 3 model family with the introduction of Gemini 3 Flash, a model designed for speed without sacrificing quality. Gemini 3 Flash enables organizations to process data close to real time, and it's incredibly efficient, combining enhanced speed with better price performance, with this speed comes scalability.

00:48 — Ultimately, Gemini 3 Flash enables multimodal processing, which means it can build applications that analyze video and extract data in near real time. Gemini 3 Flash addresses the demand for AI-driven coding and supports the development of more autonomous AI ecosystems at scale, all in a cost effective manner.

01:14 — It delivers incredibly low latency, providing near real time experiences, which contrasts with many existing other large language models that often suffer from delays. Speed-optimized models like Gemini 3 Flash are becoming essential as the AI Revolution transitions from the Q&A to one of action.

01:40 — Customers now demand capabilities that drive live applications and assist users in real time. This is particularly important considering predicted growth of autonomous AI agents. Now beyond this, as users become more accustomed to AI, they expect multimodality.

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