Develop a cutting-edge AI-enhanced system made to handle intensive AI tasks, utilising Intel Xeon 6 processors as the preferred host CPU.
As predictive AI, generative AI (GenAI), and high-performance computing (HPC) workloads become more complex, their demands for performance and energy efficiency also increase. One strategy to achieve an optimal balance between performance and total cost of ownership (TCO) for these workloads is to design an AI-accelerated system that incorporates a host CPU and discrete AI accelerators.
In an AI-accelerated system, the host CPU enhances processing performance and resource utilisation by providing effective task management and high-performance preprocessing. These two factors are essential for keeping model training pipelines well supplied and ensuring that discrete AI processors operate at peak efficiency.
Intel Xeon 6 processors with Performance-cores (P-cores) are perfect host CPUs. Acting as the brain of an AI-accelerated system, the host CPU handles a diverse range of tasks including management, optimisation, preprocessing, processing, and offloading to enhance system performance and efficiency.
GPUs and Intel® Gaudi® AI accelerators serve as the system's high-powered muscles. These discrete AI accelerators focus their parallel-processing capabilities on training large language models (LLMs) for generative AI (GenAI) and on model training for predictive AI.
Intel Xeon processors are the host CPUs of choice for the world’s most powerful AI accelerator platforms, being the most benchmarked host processors for these systems.1 Here are five more reasons to choose Intel Xeon 6 processors as your host CPUs for AI-accelerated systems.