This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm.
The past year has been an incredible journey for Qualcomm AI Hub. We’ve seen remarkable growth, innovation and momentum — and we’re only getting started.
Qualcomm AI Hub has become a key resource for developers looking to discover, optimize and deploy high-performance AI models on real devices powered by Snapdragon. With an expanding model library, a growing partner ecosystem and real-world deployments, Qualcomm AI Hub is helping accelerate the future of on-device AI across industries.
Companies optimizing models with Qualcomm AI Hub
More than 1,800 companies, including leaders like Meta, Samsung and Amazon, have turned to Qualcomm AI Hub to optimize and deploy AI models across mobile, compute, automotive and IoT platforms. With various success stories, from Lantronix, Golioth and Cephable, companies are able to develop faster and more efficiently.
A rapidly expanding model library
Since launch, we’ve doubled the number of open-source models available on Qualcomm AI Hub. Developers have access to over 175 pre-optimized models covering a wide range of use cases, including computer vision, generative AI, multi-modal tasks and more. Each model is pre-optimized to run on devices with Snapdragon, streamlining the path from development to deployment.
Empowering developers with new tools
To give developers more control, we introduced Bring Your Own Model (BYOM) and Bring Your Own Data (BYOD) capabilities in collaboration with services like Amazon Sagemaker. Developers can now run various jobs with their own models or fine-tune existing ones with custom data, making it easier to tailor AI solutions for specific products, use cases and end-user experiences.
Expanding large language model support
Qualcomm AI Hub started with a single large language model and has quickly expanded to support 15 leading LLMs optimized for on-device use. Developers can now build conversational, generative and reasoning-driven applications that deliver low-latency, private and efficient AI experiences.
Creating our ecosystem
The growth of Qualcomm AI Hub’s growth isn’t just in models — it’s in collaborations too. Over the past year, we expanded our network of collaborators, welcoming service and software leaders like AWS, Argmax, EyePop, DataLoop, Tuba and Nota.AI, as well as model innovators like Mistral AI, Tech Mahindra and Preferred Networks. Several of these models are available exclusively on Qualcomm AI Hub.
Built for real deployment, real impact
While some platforms focus on simulation or theoretical performance, the Qualcomm AI Hub is built for real-world deployment. Developers can seamlessly discover, test and benchmark models on real devices with Snapdragon delivering efficient, high-performance AI models that scale across industries and devices.
Looking ahead
Our first year was just the beginning. Qualcomm AI Hub will continue to grow, expand our model library, strengthen collaborations and deliver new tools to help developers build the future of on-device AI. Join the Qualcomm AI Hub Slack channel to connect with the community, ask questions and learn more. We’re excited for what’s ahead and remain committed to driving innovation forward.
Ruby Hagin
Senior Marketing Communications Specialist, Qualcomm Technologies
