Qualcomm recently made several major AI announcements at the Mobile World Congress Barcelona event. Each announcement supports Qualcomm’s goal of running AI at scale everywhere, including the edge. The announcements included:
Qualcomm researchers developing large multimodal models and customized large vision models that can run on Android smartphones and Windows PCs. One thing that makes the hub attractive is its simplicity of use. A developer simply selects the desired model from a selection of 75-plus common AI and generative AI models, then chooses the framework reference—either TensorFlow, PyTorch or Onyx. The models are also available on Hugging Face and GitHub.
To demonstrate the SoC’s capabilities, Qualcomm ran a performance comparison between the Snapdragon X Elite PC and a competitive x86 equipped with its most efficient GPU, CPU and NPU configuration. The comparison used GIMP, a powerful open-source raster graphics editor equipped with a Stable Diffusion plugin for GAI image generation. As indicated by the graphic, the Snapdragon X Elite with a 45 TOPS NPU provided image generation 3 times faster than the x86 competitor.
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