The Balance Between Training and Inferencing: Embracing a Hybrid GPU and CPU Approach

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Understanding Training and Inferencing Training and inferencing are two central ideas in the field of machine learning and artificial intelligence, and they have different purposes and prerequisites. Models can be trained to improve their predictive and decision-making abilities by analysing data and adjusting their parameters in response to that analysis. To process large datasets and […]

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Unleashing AI/ML Potential with the Xeon Max CPU: A Paradigm Shift in Computing

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Processing power remains a critical factor in determining the speed and efficiency of AI and ML tasks, despite the field’s rapid evolution. Intel’s Xeon Max central processing unit (CPU) is a beast when it comes to artificial intelligence (AI) and machine learning (ML) workloads, and it was developed in response to the rising demand for […]

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Powering AI Workloads: A Deep Dive into Intel DL Boost Technology

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IntroductionArtificial intelligence (AI) continues to expand into new fields, from medicine and finance to commerce and industry. These AI applications rely on processors built to handle the intensive data processing required by AI systems. Intel’s Deep Learning Boost (DL Boost) technology is at the heart of this expanding ecosystem because of the revolutionary effect it […]

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