Dataloop AI collaborates with Qualcomm to enhance AI model development

SeniorTechInfo
2 Min Read

Dataloop AI has exciting news to share from the Snapdragon Summit. The company has announced a strategic collaboration with Qualcomm Technologies to revolutionize AI model development for a range of devices powered by Snapdragon platforms.

The highlight of this collaboration is the launch of a fully automated AI Pipeline on the Dataloop AI platform. This innovative pipeline provides application and model developers with an array of AI development tools specifically designed for building models and applications tailored to Snapdragon-powered devices. Additionally, developers can seamlessly deploy these models utilizing the Qualcomm AI Hub across various Snapdragon platforms.

Dataloop simplifies the AI lifecycle by offering automated solutions for data curation, labelling, model fine-tuning, and integration with Qualcomm AI Hub. This integration allows for the compilation, optimization, and profiling of ready-to-deploy models, expediting the development process.

Nir Buschi, co-founder and CBO of Dataloop AI, shared his enthusiasm about the partnership, stating, “The Qualcomm AI Hub enhances the efficiency of AI development. Our platform streamlines the AI lifecycle, while Qualcomm Technologies’ innovations ensure models are optimized for on-device deployment, empowering developers to innovate faster.”

Siddhika Nevrekar, Senior Director of Product Management at Qualcomm Technologies, expressed the company’s commitment to streamlining on-device AI deployment with Dataloop. By leveraging Dataloop’s automated pipelines and robust data management, developers can create powerful AI systems and deploy them efficiently using the Qualcomm AI Hub.

Dataloop’s comprehensive support for AI teams throughout the application deployment process enables consistent and swift deployment of applications. Its data-agnostic approach and compatibility with various types of unstructured data address the challenges faced by industries dealing with complex data workflows and AI model training.

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