Intel Expands AI Support With New Llama 3.2 Models | Cpu definition and function | Computer hardware parts and functions | Types of hardware | Turtles AI

 
Intel has introduced support for Meta’s Llama 3.2 models, expanding access to AI on various hardware platforms. These models, optimized for various applications, promise high performance on edge devices, servers, and AI PCs. The new Gaudi 3 architecture and Intel Xeon processors significantly improve the efficiency of AI inference.

Key points:

• Gaudi 3 and OPEA: Enhanced support for Llama 3.2 models through Intel’s AI accelerators and OPEA platform.
• Xeon Performance: Intel Xeon processors optimized for small language models ensure high performance and low latency.
• Intel AI PCs: Intel Core Ultra processors and Intel Arc GPUs enable real-time AI inference on edge and client devices.
• Responsible innovation: Llama Guard 3 provides a layer of security for responsible AI deployment.

Intel, aligning with its strategy to extend AI into every domain, announced the integration of Meta’s latest Llama 3.2 models across a wide range of AI hardware platforms, from data center infrastructure to everyday PCs. This updated collection, which builds on the success of the Llama 3.1 models, introduces new features specifically designed to optimize efficiency and security in various application contexts.

The Llama 3.2 models, available in different configurations, include lightweight 1B and 3B versions, ideal for inference on edge and client devices, and powerful 11B and 90B vision models, developed for advanced visual analysis applications, such as detailed understanding of documents and images. In keeping with a responsible innovation approach, Intel has integrated new security protections into the Llama 3.2 models, including Llama Guard 3, a guard rail designed to prevent misuse of AI.

Intel Gaudi 2 accelerators and the newest Gaudi 3 play an important role in the implementation of these AI models. The improved architecture of Gaudi 3, which offers enhanced performance with quadruple BF16 processing, dual integrated networking and increased HBM memory, is an extremely competitive option for large generative AI models, making it an optimal choice for companies in need of scalable, high-performance solutions. Through a hands-on demonstration, Intel illustrated how Llama 3.2 models, coupled with Gaudi accelerators, can successfully execute the Visual Question and Answering (VQA) pipeline and ensure content security with Llama Guard 3. Intel Gaudi software and the Open Platform for Enterprise AI (OPEA) further facilitate the adoption of these technologies by offering end-to-end solutions for enterprise AI.

Intel Xeon processors prove particularly effective in running small language models, which require less computing power and can be easily optimized for specific tasks. With the integration of Intel Xeon AMX instructions and increased memory bandwidth, these processors deliver high performance with low latency, making them an ideal choice for large-scale implementations. Benchmarking tests have shown that Intel Xeon processors are capable of processing Llama 3.2 3B and 11B-Vision-Instruct models with remarkable processing speeds and reduced latency, demonstrating the effectiveness of these solutions for a wide range of business applications.

Finally, Intel has also made the capabilities of Llama 3.2 models accessible for client and edge applications through new Intel Core Ultra processors and Intel Arc GPUs. These hardware components, with built-in AI capabilities such as NPUs and Xe Matrix (XMX) extensions, allow users to run complex models such as Llama 3.2 11B Vision directly on local devices, opening up new possibilities for real-time AI inference and custom application development.

The evolution of Llama 3.2 models and their support on a full range of Intel platforms represent a significant step toward the widespread deployment of AI in every industry, offering powerful, scalable and secure solutions that meet the needs of an increasingly connected world.