Qualcomm Developer

Meet Arduino UNO Q, a unique "dual-brain" board perfect for beginner robotics, edge #AI, and IoT. Let’s break down how the two brains communicate to make building and deploying simpler for devs like you. https://bit.ly/4wtKQGl

Want to see how Qualcomm Dragonwing unifies on-device #AI across the developer journey? Join us live on August 13 @ 9 AM PT as we walk through the architecture end-to-end—from prototype to production with David Tischler, Ali O. Ors and Kedar G. RSVP to save your spot, and don’t forget to bring your questions to get them answered live.👇 https://lnkd.in/eyiw44uE

Want an end-to-end look at the Qualcomm Dragonwing pipeline? Join us for our upcoming livestream, where we’ll take you from environment setup to optimized on-device AI inference for both Generative AI and traditional AI workloads. Qualcomm’s David Tischler will talk with Ali O. Ors and Kedar G. to show you how to deploy and run optimized AI applications on Dragonwing devices. We’ll cover everything, including the Qualcomm AI Hub, QAIRT/QNN, Genie SDK, llama.cpp, and the Qualcomm Intelligent Multimedia (IM) SDK and examine the tradeoffs between pre-optimized models, bring-your-own-model workflows, and open-source formats like GGUF.

Can you go from an idea to running private #AI agents in minutes? Absolutely. LLMWare.ai's Model HQ on Snapdragon X Elite lets developers build no-code multi-step agent workflows—running on-device, in the cloud, or across both. Check out the demo to see local small language models process enterprise docs & data with full privacy and zero cloud dependency 👇 https://bit.ly/4g1OlxP

How do you run Vision #AI, GenAI with RAG, and speech recognition simultaneously on a single edge platform without sacrificing performance? Our new blog breaks down FactoryPulse on the Qualcomm Dragonwing IQ-9075, built in collaboration with Qt Group. Here’s how you can coordinate multiple workloads natively using Hexagon HTP acceleration to solve for some essential factory use cases. 👇 Learn more: https://bit.ly/3S28oDb

Cloud lag and data leaks are killing enterprise automation. Want to take back control? You can now orchestrate secure, multi-step #AI workflows locally on Snapdragon X Series devices, leveraging the Hexagon NPU for maximum efficiency without the cloud bill. Check out the carousel below to see how we build a private, code-free Jira and email automation pipeline from scratch, then read the step-by-step developer guide 👉 https://bit.ly/4wZWrNf

We’re reaching a tipping point in game design where creative ambition is colliding head on with cloud infrastructure. Building immersive game AI shouldn't mean choosing between: ❌ High cloud concurrency costs ❌ Network latency ruining player immersion ❌ Fragile, custom-built engine wrappers The Snapdragon Game AI SDK eliminates these friction points. By integrating directly with Unreal Engine, it runs your speech, voice, and memory workloads entirely on-device. Watch our GDC Festival of Gaming session breakdown to learn how to start building: https://bit.ly/4wCulHu

The number one obstacle developers face? The transitions between ideas, prototypes, and production. ❌ Qualcomm devices like the Dragonwing-powered Arduino VENTUNO Q and our suite of #AI tools enable you to stick to the same board and resources as you move, minimizing friction. Check out David showing the workflow in action. 👇

Robotics projects rarely stay the same size for long. A consistent development path from early prototypes to production systems can save a lot of time and complexity down the road. 👇