More than 500 AI Models Run Optimized on Intel Core Ultra Processors

Intel announced it surpassed 500 AI models running optimized on new Intel® Core™ Ultra processors – the industry’s premier AI PC processor available in the market today, featuring new AI experiences, immersive graphics and optimal battery life. This significant milestone is a result of Intel’s investment in client AI, the AI PC transformation, framework optimizations and AI tools including OpenVINO™ toolkit. The 500 models, which can be deployed across the central processing unit (CPU), graphics processing unit (GPU) and neural processing unit (NPU), are available across popular industry sources, including OpenVINO Model Zoo, Hugging Face, ONNX Model Zoo and PyTorch. The models draw from categories of local AI inferencing, including large language, diffusion, super-resolution, object detection, image classification/segmentation, computer vision and others.

“Intel has a rich history of working with the ecosystem to bring AI applications to client devices, and today we celebrate another strong chapter in the heritage of client AI by surpassing 500 pre-trained AI models running optimized on Intel Core Ultra processors. This unmatched selection reflects our commitment to building not only the PC industry’s most robust toolchain for AI developers, but a rock-solid foundation AI software users can implicitly trust.” - Robert Hallock, Intel vice president and general manager of AI and technical marketing in the Client Computing Group

Why It Matters: Surpassing 500 AI models is a landmark moment for Intel’s efforts to nurture and support the AI PC transformation. Not only is the Intel Core Ultra processor the fastest-growing AI PC processor to date — selling more units in a single quarter than competing processors in all of 2023 — it is also the most robust platform for AI PC development, with more AI models, frameworks and runtimes enabled than any other processor vendor.

How AI Models Work: AI models are one of many critical layers in the software stack that determine the ultimate performance, stability and capabilities of an AI-driven application. AI models are trained to analyze large quantities of data, draw conclusions and take actions based on such inferences.  Developers creating new AI PC features can utilize these models and build on them. The more AI models there are, the more AI PC features are enabled.

About Additional Features and Benefits:  Features and benefits of the more than 500 optimized AI models:

• Facilitates development and deployment.
• Spans more than 20 categories of AI, including large language, diffusion, super resolution, object detection and computer vision.
• Includes Phi-2, Mistral, Llama, Bert, Whisper and Stable Diffusion 1.5.
• Improves system stability, reliability and performance.