Qualcomm is planning to release an upgrade to its AI Hub that will accommodate the Snapdragon X processor series. Now, developers may take advantage of Qualcomm's newest chips, which enable on-device AI, to optimise their apps for the upcoming Windows laptops and PCs. Additionally, additional models can now access the Qualcomm AI Hub. Developers are also welcome to provide their own AI models.
Qualcomm’s AI Hub is a good place for developers to start when looking for models from which to build their applications. The same applies to developing an AI-powered app for mobile devices and, soon enough, computers. Many of the popular models featured are also available on Hugging Face and GitHub. All can be easily deployed on Qualcomm devices and run on CPUs, GPUs, and NPUs using TensorFlow Lite or Qualcomm’s AI Engine Direct.
The support for Snapdragon X is a bid to stay one step ahead of the competition. Rivals AMD and Intel have announced AI PC processors, so today’s announcement is more strategic in nature. Developers can run models on the Snapdragon X Series Platforms to build AI-powered Windows applications, thanks to integrations with ONNX Runtime, Hugging Face Optimum and Llama.cpp. This potentially means developers could see their app be used on a host of computers from Acer, ASUS, Dell, HP, Lenovo, Samsung and OEM7—all companies with scheduled PCs powered by Qualcomm’s Snapdragon X Elite or X Plus chips.
Qualcomm has also enlisted Andrew Ng’s DeepLearning.ai to power online courses that educate developers about on-device AI and ways to implement the technology in their programs.
While many developers will take advantage of the more than 100 models available on Qualcomm’s AI Hub, there may be instances when some apps require specialized models.
Developers can now upload, optimize and compile SLM and LLMs specifically for Qualcomm and Snapdragon platforms. These models can be tested and validated on cloud-hosted devices quickly and with a few lines of code.
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