{"id":342336,"date":"2025-12-13T09:50:22","date_gmt":"2025-12-13T09:50:22","guid":{"rendered":"https:\/\/www.newsbeep.com\/ca\/342336\/"},"modified":"2025-12-13T09:50:22","modified_gmt":"2025-12-13T09:50:22","slug":"gemini-live-api-available-on-vertex-ai","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/ca\/342336\/","title":{"rendered":"Gemini Live API available on Vertex AI"},"content":{"rendered":"

Today, we are excited to announce that Gemini Live API<\/a>, powered by the latest Gemini 2.5 Flash Native Audio model<\/a>, is generally available on Vertex AI.<\/p>\n

Pioneering organizations have been using Gemini Live API to build the next generation of multimodal conversational AI that blends voice, vision, and text, to deliver fluid, human-like, and highly contextual interactions. For Google Cloud customers, this means you can deploy low-latency voice and video agents with the stability and performance required for your most demanding workflows.<\/p>\n

A new standard with real-time multimodal AI agents<\/p>\n

Gemini Live API represents a new standard for bringing AI to life. Imagine an agent that doesn’t just listen, but instantly understands the user’s intent, the context of their screen, captures the emotion in their voice, and responds with a human-like voice \u2014 all in real time.<\/p>\n

The power behind this dynamic capability is the Gemini 2.5 Flash Native Audio model. Our approach is based on a simple commitment: to bring the same high-quality conversational intelligence found in advanced experiences across Google<\/a> directly to your enterprise applications.<\/p>\n

In a real-time interaction, precision and speed are non-negotiable. Gemini Live API is natively multimodal and is designed to handle the instantaneous complexity of human dialogue:<\/p>\n

It can process interruptions mid-sentence without missing a beat, ensuring natural turn-taking.<\/p>\n

It understands acoustic cues like pitch and pace, deciphering intent and tone.<\/p>\n

It can see and discuss complex visual data (charts, live video, diagrams) shared by a user, providing immediate, contextual assistance.<\/p>\n

The confidence to deploy on Vertex AI<\/p>\n

Gemini Live API is engineered for enterprise success. Vertex AI provides the security and stability your mission-critical agents need for production.<\/p>\n

The Gemini 2.5 Flash Native Audio model is optimized to process a high volume of concurrent interactions with consistent, low-latency performance. Deploying on Vertex AI allows you to leverage our expanding global infrastructure across multiple regions<\/a>, delivering reliability for your users. Additionally, enterprise-grade data residency features that allow you to manage where your data is processed, helping you meet critical regulatory and compliance standards.\u00a0<\/p>\n

Building real-world impact with Gemini Live API<\/p>\n

The true power of Gemini Live API is demonstrated by the companies who are using it today to redefine their customer experiences.<\/p>\n

Shopify, the leading global commerce platform, developed Sidekick, a multimodal AI assistant powered by Gemini Live API on Vertex AI. It provides personalized, robust support away from a desk, enabling real-time problem solving that eliminates traditional ticketing workflows.<\/p>\n

\u201cUsers often forget they\u2019re talking to AI within a minute of using Sidekick, and in some cases have thanked the bot after a long chat. This is an exciting time to be an entrepreneur. New AI capabilities offered through Gemini empower our merchants to win.\u201d \u2013 David Wurtz, VP of Product, Shopify<\/p>\n","protected":false},"excerpt":{"rendered":"Today, we are excited to announce that Gemini Live API, powered by the latest Gemini 2.5 Flash Native…\n","protected":false},"author":2,"featured_media":342337,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[62,147565,276,277,49,48,61],"class_list":{"0":"post-342336","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-artificial-intelligence","8":"tag-ai","9":"tag-ai-u0026-machine-learning","10":"tag-artificial-intelligence","11":"tag-artificialintelligence","12":"tag-ca","13":"tag-canada","14":"tag-technology"},"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/posts\/342336","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/comments?post=342336"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/posts\/342336\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/media\/342337"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/media?parent=342336"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/categories?post=342336"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/tags?post=342336"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}