# Hybrid Inference Published articles for Hybrid Inference. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Build intelligent Android apps: Cloud and hybrid inference DevFeed: [Build intelligent Android apps: Cloud and hybrid inference]() Original publisher: [Read original article]() Author: Android Developers (noreply@blogger.com) Published: 2026-07-21T13:00:00Z Content type: tutorial Language: en Sources: [Android Developers Blog]() Topics: [Android](), [Firebase](), [Artificial Intelligence](), [Inference](), [Cloud](), [ML Kit]() Tags: [ai](), [ai-models](), [android](), [cloud](), [firebase](), [firebase-ai-logic](), [gemini](), [grounding](), [hybrid-inference](), [inference](), [on-device]() ### AI overview This tutorial explains how to build cloud-hosted and hybrid AI features in Android apps with Firebase AI Logic. Using the Jetpacker app as an example, it covers web-grounded museum assistance, hybrid restaurant review drafting with Gemini Nano and cloud fallback, and custom-routed live translation for hotel support. ### Source excerpt Posted by Thomas Ezan, Jolanda Verhoef, Caren Chang, Senior Developer Relations Engineers, Android Developer Relations Welcome back to the blog post series "Build intelligent Android apps" where we take a basic Android app and transform it into a personalized, intelligent, and agentic experience. In our previous post we explored how to build intelligent on-device features using Gemini Nano through ML Kit's Prompt API. In this post, we will look at how you can leverage Firebase AI Logic to build cloud-hosted and hybrid AI features: Grounding answers in real-world context Routing requests dynamically between cloud and local execution using hybrid inference Translating content with custom routing systems Sometimes a use case requires AI models with greater world knowledge, a much larger context window, or the ability to handle complex queries. In those scenarios, we can leverage cloud models. Other times, you want the best of both worlds: using hybrid inference to run on-device when available to lower costs, while falling back to the cloud to ensure compatibility for all devices. Cloud and hybrid features in Jetpacker: Museum assistant with web grounding, hybrid restaurant review drafting, and support chat featuring custom-routed live translation. Let's look at how we implemented three cloud and hybrid features in Jetpacker: a museum assistant with web grounding hybrid restaurant review drafting hotel support chat featuring custom-routed live translation. Use LLM grounding for up-to-date informationMuseum assistant chatbot with LLM grounding The Museum assistant is an interactive chatbot designed to help users plan their museum visits. It provides visitors with up-to-date details regarding specific exhibits, current opening hours, ticket pricing, and more. Museum assistant is a chatbot that answers questions, such as 'How can I get a ticket discount for Le Louvre?' When building AI features, getting the model to answer with fresh, accurate, and specific real-world info ## Gemini in Apple's Foundation Models framework DevFeed: [Gemini in Apple's Foundation Models framework]() Original publisher: [Read original article]() Author: Miguel Ramos; Ryan Wilson Published: 2026-06-09T09:41:00Z Content type: article Language: en Sources: [Firebase Blog]() Topics: [Firebase](), [foundation-models](), [Artificial Intelligence](), [API](), [Swift](), [Inference]() Tags: [ai](), [ai-logic](), [app-check](), [apple](), [firebase](), [foundation-models](), [gemini](), [hybrid-inference](), [ios](), [news](), [on-device-ai](), [swift](), [updates](), [wwdc]() ### AI overview Firebase describes a preview integration that lets developers use cloud-hosted Gemini models through Apple's Foundation Models framework. The shared API allows switching between on-device Apple models and Gemini, while Firebase AI Logic and App Check provide request routing and attestation for Apple apps. ### Source excerpt News, tutorials, and updates from the Firebase team. ## What's new from Firebase at Google I/O 2026 DevFeed: [What's new from Firebase at Google I/O 2026]() Original publisher: [Read original article]() Author: Seba Gnagnarella; Arthur Thompson; Kristen Richards Published: 2026-05-19T01:00:00Z Content type: news Language: en Sources: [Firebase Blog]() Topics: [Firebase](), [Agent Skills](), [Google](), [Mobile](), [Android Studio](), [Flutter](), [Model Context Protocol]() Tags: [2026](), [a-b-testing](), [agent-skills](), [ai-logic](), [ai-studio](), [android](), [android-studio](), [antigravity](), [app-check](), [application-design-center](), [authentication](), [cloud-logging](), [cloud-run](), [crashlytics](), [firebase](), [firestore](), [flutter](), [google](), [google-i-o](), [hybrid-inference](), [ios](), [mcp](), [mobile](), [news](), [remote-config](), [security]() ### AI overview Firebase announces updates from Google I/O 2026, including integrations with Google Antigravity and Android Studio, expanded Agent Skills for mobile development, and support for Firestore, Firebase Authentication, Crashlytics, and Remote Config. ### Source excerpt News, tutorials, and updates from the Firebase team. ## What's new from Firebase at Cloud Next 2026 DevFeed: [What's new from Firebase at Cloud Next 2026]() Original publisher: [Read original article]() Author: Seba Gnagnarella; Arthur Thompson; Kristen Richards Published: 2026-04-22T11:30:00Z Content type: news Language: en Sources: [Firebase Blog]() Topics: [Firebase](), [Cloud](), [Firestore](), [PostgreSQL](), [SQL](), [Mobile](), [Web](), [GraphQL]() Tags: [2026](), [ai](), [ai-logic](), [ai-studio](), [app-check](), [application-design-center](), [authentication](), [cloud-functions](), [cloud-next](), [dart-on-the-server](), [firebase](), [firestore](), [flutter](), [full-text-search](), [gemini](), [geo-queries](), [graphql](), [hybrid-inference](), [mobile](), [news](), [phone-number-verification](), [postgresql](), [sql](), [sql-connect](), [updates](), [web]() ### AI overview Firebase describes announcements from Cloud Next 2026, including the evolution of Firebase Data Connect into Firebase SQL Connect with realtime syncing, offline cache, and native SQL support. The article also covers Firestore Enterprise pipeline queries moving to general availability. ### Source excerpt News, tutorials, and updates from the Firebase team. ## Firebase AI Logic adds server prompt template support for chat and function calling DevFeed: [Firebase AI Logic adds server prompt template support for chat and function calling]() Original publisher: [Read original article]() Author: Miguel Ramos Published: 2026-04-22T00:00:00Z Content type: article Language: en Sources: [Firebase Blog]() Topics: [Firebase](), [Artificial Intelligence](), [Mobile](), [Web](), [SDK]() Tags: [ai](), [ai-logic](), [android](), [app-check](), [chat](), [cloud-next](), [firebase](), [firebase-ai-logic](), [firebase-console](), [flutter](), [function-calling](), [gemini](), [hybrid-inference](), [kotlin](), [prompt](), [sdk](), [security](), [server](), [web](), [web-app]() ### AI overview This Firebase blog post describes Cloud Next '26 updates to Firebase AI Logic. Server prompt templates now support multi-turn chat and function calling, keeping system instructions, model configuration, tool definitions, and function schemas on Firebase's servers while clients reference the template ID. ### Source excerpt What's new at Cloud Next '26 ## Understanding hybrid inference: the role of Firebase AI Logic DevFeed: [Understanding hybrid inference: the role of Firebase AI Logic]() Original publisher: [Read original article]() Author: Ankita Saxena Published: 2025-10-15T10:00:00Z Content type: tutorial Language: en Sources: [Firebase Blog]() Topics: [Firebase](), [Artificial Intelligence](), [Inference](), [Web app]() Tags: [ai](), [ai-logic](), [chrome](), [firebase](), [firebase-ai-logic](), [gemini](), [hybrid-inference](), [inference](), [multimodal](), [offline](), [on-device](), [on-device-ai](), [real-time](), [tutorials](), [web](), [web-app]() ### AI overview This Firebase tutorial explains hybrid inference, where AI features use on-device models when available and fall back to cloud-hosted models when needed. It demonstrates web app use cases including text summarization, offline image captioning, and real-time transcription and translation. ### Source excerpt News, tutorials, and updates from the Firebase team. ## Smart photo organization through privacy-first, on-device AI DevFeed: [Smart photo organization through privacy-first, on-device AI]() Original publisher: [Read original article]() Author: Cynthia Wang Published: 2025-10-15T08:00:00Z Content type: tutorial Language: en Sources: [Firebase Blog]() Topics: [On-device AI](), [Firebase](), [PWA](), [SDKs](), [web applications](), [browser]() Tags: [ai](), [ai-logic](), [firebase](), [gemini](), [hybrid-inference](), [on-device](), [on-device-ai](), [privacy](), [pwa](), [sdks](), [tutorials](), [web](), [web-browser]() ### AI overview This Firebase tutorial explains how to build a privacy-focused photo organization progressive web app using on-device AI. It describes running a local model in the browser so photos remain on the user's device and can be analyzed offline, with Firebase AI Logic SDKs detecting and caching compatible models such as Gemini Nano and providing a fallback approach for other browsers. ### Source excerpt News, tutorials, and updates from the Firebase team. ## Adding AI-powered star-rating suggestions to reviews with Firebase AI Logic DevFeed: [Adding AI-powered star-rating suggestions to reviews with Firebase AI Logic]() Original publisher: [Read original article]() Author: Alexander Nohe; Jeff Huleatt Published: 2025-10-01T00:00:00Z Content type: tutorial Language: en Sources: [Firebase Blog]() Topics: [Firebase](), [Artificial Intelligence](), [Google AI](), [API keys](), [Generative AI]() Tags: [ai](), [ai-logic](), [api-keys](), [app-check](), [firebase](), [firestore](), [gemini](), [hybrid-inference](), [mcp](), [on-device-ai](), [react](), [recaptcha](), [security-rules](), [tutorials]() ### AI overview This tutorial explains how the Friendly Eats app uses Firebase AI Logic to suggest a star rating while a user writes a review. It discusses choosing a client-side SDK, protecting Gemini API keys through a proxy, using on-device models when available, securing requests with Firebase App Check, and balancing model cost, speed, and quality. ### Source excerpt News, tutorials, and updates from the Firebase team. ## New Firebase AI Logic features to explore - September 2025 updates DevFeed: [New Firebase AI Logic features to explore - September 2025 updates]() Original publisher: [Read original article]() Author: Miguel Ramos; Rachel Saunders Published: 2025-09-10T00:00:00Z Content type: release Language: en Sources: [Firebase Blog]() Topics: [Firebase](), [Artificial Intelligence](), [SDKs](), [On-device AI](), [Image](), [API](), [Web](), [Android](), [Flutter](), [Unity](), [Chrome]() Tags: [ai](), [ai-logic](), [android](), [api](), [app-check](), [debug](), [firebase](), [firebase-ai-logic](), [flutter](), [gemini](), [hybrid-inference](), [image](), [images](), [inference](), [js](), [news](), [observability](), [offline](), [on-device](), [on-device-ai](), [unity](), [updates]() ### AI overview Firebase AI Logic's September 2025 updates add Gemini Live API voice interactions, client-side image editing and generation with Imagen, Nano Banana image workflows, hybrid on-device inference for web apps, and additional monitoring and observability capabilities. ### Source excerpt News, tutorials, and updates from the Firebase team. ## Introducing hybrid on-device inference using Firebase AI Logic DevFeed: [Introducing hybrid on-device inference using Firebase AI Logic]() Original publisher: [Read original article]() Author: Siddharth Gupta; Erik Eldridge Published: 2025-06-09T00:00:00Z Content type: release Language: en Sources: [Firebase Blog]() Topics: [Firebase](), [On-device AI](), [Inference](), [AI Models](), [Web]() Tags: [ai](), [ai-logic](), [experimental](), [feature](), [firebase](), [gemini](), [hybrid-inference](), [inference](), [javascript](), [model](), [on-device](), [on-device-ai](), [web]() ### AI overview Firebase introduces an experimental hybrid inference feature in its AI Logic client SDK for Web. The feature uses available on-device models such as Gemini Nano in Chrome and falls back to cloud-hosted Gemini models when needed, supporting online and offline AI features. ### Source excerpt News, tutorials, and updates from the Firebase team. ## Building AI-powered apps with Firebase AI Logic DevFeed: [Building AI-powered apps with Firebase AI Logic]() Original publisher: [Read original article]() Author: Thevi Sundaralingam; Dmitry Lyalin; Miguel Ramos Published: 2025-05-20T10:49:00Z Content type: release Language: en Sources: [Firebase Blog]() Topics: [Firebase](), [Generative AI](), [SDKs](), [Genkit](), [API]() Tags: [ai](), [ai-logic](), [dashboards](), [firebase](), [firebase-ai-logic](), [gemini](), [genkit](), [google-i-o](), [hybrid-inference](), [inference](), [launch](), [node-js](), [on-device](), [on-device-ai](), [sdks](), [vertex-ai]() ### AI overview Firebase announces Firebase AI Logic, the evolution of Vertex AI in Firebase, with client-side and Genkit-based server-side integrations for generative AI. New capabilities include Gemini Developer API access, hybrid and on-device inference, Unity support, image generation and editing, enhanced observability, and dynamic model lookup in Genkit for Node.js. ### Source excerpt News, tutorials, and updates from the Firebase team.