Qualcomm AI Hub

When you’re building vision models for the real world, clarity isn’t optional. Cue 👉 AI Hub Super Resolution Models Take low-res inputs and transform them into sharp, detailed images, all optimized to run efficiently on edge devices. ✔︎ Built and validated by Qualcomm ✔︎ Tuned for performance and efficiency ✔︎ Deploy ready across Snapdragon powered devices Bring the highest clarity to your computer vision pipeline, without sacrificing latency or power. Explore Super Resolution models → https://lnkd.in/gEhUaAwH #QualcommAIHub #OnDeviceAI #EdgeAI #ComputerVision #SuperResolution #AIModels

Developers, meet your new favorite image fixer. With AOT‑GAN on Qualcomm AI Hub, you can remove unwanted objects and watch the model fill in the missing parts naturally. It’s like having a smart editor built right into your app, helping developers create seamless image repair and enhancement directly on devices. Perfect for mobile photo editing, AR/VR, and other edge experiences where visuals matter. Check it out → https://lnkd.in/gUY4mNQV #QualcommAIHub #OnDeviceAI #EdgeAI #ImageEditing #Inpainting #ComputerVision

High fidelity, text-to-image generation is NOT a cloud-only luxury. Stable-Diffusion v1.5 model on Qualcomm AI Hub makes it possible on-device. Get full scale generative output from a simple text prompt optimized for Qualcomm edge hardware: ✔︎ low latency ✔︎ efficient memory usage Whether it’s a mobile experience, content creation, or creative tooling for users, Stable-Diffusion v1.5 unlocks the next wave of text-to-image generation. Explore more at Qualcomm AI Hub → https://lnkd.in/gvuGsBkb #QualcommAIHub #GenerativeAI #OnDeviceAI #EdgeAI #StableDiffusion #ImageGeneration

Hey Qualcomm developers, accelerate your on-device development with these 3 products from Qualcomm AI Hub 👇 🔵 Models Download ready-to-run, Qualcomm-compatible ML models, already optimized for Qualcomm devices. 🔵 Workbench Optimize your custom workflows with a simple, guided interface so you can get the best performance for your use case. 🔵 Apps Use sample applications to deploy your models on real devices and see performance instantly. All in one place. All designed for developers like you. Start building today → https://aihub.qualcomm.com #QualcommAIHub #OnDeviceAI #EdgeAI #MLWorkflow

Qualcomm developers, speed up your ML workflow and get on-device metrics easily with these 3 Qualcomm AI Hub products: Models. Workbench. Apps. AI Hub gives you ready-to-run models, simple workflow optimization with Workbench, and sample apps to deploy on Qualcomm devices in just a few clicks. Swipe to see how each product makes your projects smarter and more efficient. Start building today → https://aihub.qualcomm.com #QualcommAIHub #OnDeviceAI #EdgeAI #MLWorkflow

Our most downloaded Image Editing model is... 👇 AOT-GAN This model restores missing or masked areas in images. Generating natural, seamless results that make incomplete visuals look whole again. Why it matters: ✔︎ Ideal for image restoration, object removal, and photo editing workflows ✔︎ Optimized for on-device deployment, fast inference, low latency ✔︎ Validated by Qualcomm, ready to compile and run on Snapdragon hardware Bring generative AI to your edge applications, and let your visuals tell the full story. Explore the model → https://lnkd.in/gUY4mNQV #QualcommAIHub #EdgeAI #OnDeviceAI #ComputerVision #ImageRestoration #AOTGAN #GenerativeAI

Collaboration Spotlight! ONNX Runtime is a high-performance inference engine specifically designed to execute models in the ONNX format. Equipped with the QNN Execution Provider. ONNX Runtime empowers developers using Qualcomm AI Hub to deploy cutting-edge SLM/LLMs effectively on the Qualcomm NPU on Snapdragon X Series devices. You can leverage the power of ONNX Runtime on Qualcomm AI Hub simply by specifying “target_runtime onnx” when submitting your compile job. Learn more at → https://lnkd.in/et-SZ6qi #ONNX #AIDevelopers #QualcommAIHub

SEA-LION is on Qualcomm AI Hub 🎉 → https://lnkd.in/ggeBifd3 The first LLM built to cater to the 675 million residents of Southeast Asia, SEA-LION streamlines prototyping and development for applications that need to reflect Southeast Asian language patterns and usage. 🤝 Learn more about SEA-LION & Qualcomm AI Hub https://lnkd.in/g-GqJYZY Perfect for building: • Chatbots • Translation content generation • Voice assistants #QualcommAIHub #AIDevelopers #AIModelDeployment

Get this... When Qualcomm launched AI Hub to automatically optimize models on the edge, it kicked off the creation of an entire ecosystem for on-device AI. We've attracted model makers like IBM, Mistral AI and Preferred Networks, Inc., who have been able to use Qualcomm AI Hub to make all of their models available locally on-device. Here’s an example 👉 With our collaboration with Amazon Web Services (AWS), you can launch training jobs on Amazon SageMaker, then seamlessly optimize, compile and infer your fine-tuned model on physical devices. All using Qualcomm AI Hub. Join the ecosystem and streamline your edge AI journey today! https://lnkd.in/geCfQr9F #QualcommAIHub #EdgeAI #AIDeployment

Get started now with Qualcomm AI Hub. Here's video #1 of our must watch how-to series → https://lnkd.in/g72DKYy9 In this 3-minute video, AI Hub's very own @Meghan Stronach walks you through: 1. Signing up for a Qualcomm AI Hub account 2. Logging in for the first time 3. Installing Qualcomm AI Hub 4. Configuring the API token “Getting Started with Qualcomm AI Hub” is just the first in a series of eight how-to videos. Find the entire series here → https://lnkd.in/gAs9eUrV #EdgeAI #QualcommAIHub #AIModelDeployment