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For years, organizations have leveraged AI/ML for specific tasks—from computer vision in video analytics to Google’s BERT powering advanced search and ML models driving predictive analytics. Industry leaders have long pioneered research in natural language processing (NLP) models for speech recognition, text summarization, and sentiment analysis, but the launch of ChatGPT marked the beginning of the AI renaissance and the generative AI era. Overnight, AI shifted from a futuristic concept to an essential daily collaborative tool. The rise of large language models (LLMs) and generative AI has further accelerated global innovation, disrupted established workflows, and forced every major industry to reimagine products and solutions.
Today, every organization—from small enterprises to the largest cloud providers—must decide how to integrate this technology and stay ahead amidst the rapidly evolving AI landscape.
The building blocks of a high-performance AI cluster environment include accelerators, storage servers, and the network fabrics that connect these servers (Figure 1).
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