Intel Core Ultra Processors Optimize Over 500 AI Models for Enhanced Performance

Intel has made a significant announcement today, revealing that they have surpassed 500 AI models running optimized on their new Intel Core Ultra processors. These processors are considered to be the leading AI PC processors currently available on the market, offering users enhanced AI experiences, immersive graphics, and improved battery life. This achievement is a result of Intel’s investment in client AI, their commitment to the AI PC transformation, and their focus on framework optimizations and AI tools such as the OpenVINO toolkit.

The 500 models can be utilized across the CPU, GPU, and NPU, and are accessible through various industry sources including OpenVINO Model Zoo, Hugging Face, ONNX Model Zoo, and PyTorch. These models cover a wide range of local AI inferencing categories, including language processing, diffusion, super resolution, object detection, image classification/segmentation, computer vision, and more.

Robert Hallock, Intel’s vice president and general manager of AI and technical marketing in the Client Computing Group, expressed his excitement about this achievement, stating, “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.”

This milestone is significant for Intel as it demonstrates their dedication to nurturing and supporting the AI PC transformation. The Intel Core Ultra processor has proven to be the fastest-growing AI PC processor to date, outselling competing processors in a single quarter what others achieved in an entire year. Moreover, it offers the most comprehensive platform for AI PC development, with more enabled and optimized AI models, frameworks, and runtimes than any other processor vendor.

The availability of a wide range of enabled and optimized AI models is crucial for the development of AI-enhanced software features. These models serve as the backbone for features like object removal, image super resolution, or text summarization. The number of enabled/optimized models directly impacts the breadth of user-facing AI features that can be brought to market. Without a model, a feature cannot be designed, and without runtime optimization, it cannot reach its full potential.

AI models play a vital role in the software stack, determining the performance, stability, and capabilities of AI-driven applications. These models are trained to analyze vast amounts of data, draw conclusions, and take actions based on their inferences. Developers can utilize these models as a foundation for creating new AI PC features. The availability of a wide variety of AI models enables the development of AI PC features that can act on text, speech, audio, images, and other audiovisual sources commonly encountered in the PC experience.

OpenVINO plays a crucial role in optimizing AI models for Intel Core Ultra processors. It achieves this by load-balancing across all Compute Units, compressing models to run efficiently on an AI PC, and optimizing the runtime to leverage memory bandwidth and core architecture within Intel Core Ultra. These continuous efforts to enable high-performance models on Intel Core Ultra provide software developers with a vast field of innovation and simplify the delivery of AI PC applications and features to users.

The more than 500 optimized AI models offer a range of features and benefits. They facilitate development and deployment, covering over 20 categories of AI including language processing, diffusion, super resolution, object detection, and computer vision. Some notable models include Phi-2, Mistral, Llama, Bert, Whisper, and Stable Diffusion 1.5. These models not only improve system stability, reliability, and performance but also enhance the overall user experience.

Developers interested in utilizing these optimized AI models can join Intel’s AI PC Developer Program. This program provides access to tools, workflows, and AI deployment frameworks specifically designed for Intel Core Ultra processors. Additionally, developers can leverage Intel’s software tools for optimizing AI, multiarchitecture programming, gaming, media, and rendering on the AI PC.

In conclusion, Intel’s achievement of surpassing 500 optimized AI models running on their Intel Core Ultra processors marks a significant milestone in their efforts to support the AI PC transformation. With a wide range of enabled and optimized AI models, Intel offers developers a robust platform for creating AI-enhanced features and simplifies the delivery of AI PC applications to users. This achievement solidifies Intel’s position as a leader in the AI PC market and highlights their commitment to innovation and collaboration within the AI ecosystem.

Background Information

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About Intel:

Intel Corporation, a global technology leader, is for its semiconductor innovations that power computing and communication devices worldwide. As a pioneer in microprocessor technology, Intel has left an indelible mark on the evolution of computing with its processors that drive everything from PCs to data centers and beyond. With a history of advancements, Intel's relentless pursuit of innovation continues to shape the digital landscape, offering solutions that empower businesses and individuals to achieve new levels of productivity and connectivity.

  

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Technology Explained

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Compute Units: Compute Units (CUs) are a type of processor technology used in the computer industry. They are designed to provide high-performance computing capabilities for a variety of applications. CUs are typically used in graphics processing units (GPUs) and are responsible for the majority of the processing power in modern gaming systems. CUs are also used in other areas of the computer industry, such as artificial intelligence, machine learning, and data analysis. CUs are designed to be highly efficient and can provide significant performance gains over traditional CPUs. They are also capable of handling multiple tasks simultaneously, making them ideal for applications that require high levels of parallel processing.

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CPU: The Central Processing Unit (CPU) is the brain of a computer, responsible for executing instructions and performing calculations. It is the most important component of a computer system, as it is responsible for controlling all other components. CPUs are used in a wide range of applications, from desktop computers to mobile devices, gaming consoles, and even supercomputers. CPUs are used to process data, execute instructions, and control the flow of information within a computer system. They are also used to control the input and output of data, as well as to store and retrieve data from memory. CPUs are essential for the functioning of any computer system, and their applications in the computer industry are vast.

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GPU: GPU stands for Graphics Processing Unit and is a specialized type of processor designed to handle graphics-intensive tasks. It is used in the computer industry to render images, videos, and 3D graphics. GPUs are used in gaming consoles, PCs, and mobile devices to provide a smooth and immersive gaming experience. They are also used in the medical field to create 3D models of organs and tissues, and in the automotive industry to create virtual prototypes of cars. GPUs are also used in the field of artificial intelligence to process large amounts of data and create complex models. GPUs are becoming increasingly important in the computer industry as they are able to process large amounts of data quickly and efficiently.

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NPU: NPU, or Neural Processing Unit, is a type of specialized processor that is designed to handle complex artificial intelligence tasks. It is inspired by the structure and function of the human brain, with the ability to process and analyze large amounts of data simultaneously. In the computer industry, NPU technology is being used in various applications such as speech recognition, image and video processing, and natural language processing. This allows computers to perform tasks that were previously only possible for humans, making them more efficient and intelligent. NPU technology is also being integrated into smartphones, self-driving cars, and other devices, making them smarter and more responsive to user needs. With the increasing demand for AI-driven technology, the use of NPU is expected to grow and revolutionize the way we interact with computers in the future.

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Stable Diffusion: Stable Diffusion is a technology that is used to improve the performance of computer systems. It is a process of spreading out the load of a system across multiple processors or cores. This helps to reduce the amount of time it takes for a system to complete a task, as well as reduce the amount of energy used. Stable Diffusion is used in many areas of the computer industry, such as in cloud computing, distributed computing, and high-performance computing. It is also used in gaming, where it can help to reduce the amount of time it takes for a game to load. Stable Diffusion is also used in artificial intelligence, where it can help to improve the accuracy of machine learning algorithms.

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