Why Enterprises Are Moving Workloads Back to On-Premise Private Cloud for Next-Gen AI

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There has been a clear trend in enterprise IT strategies in recent years, as firms are progressively moving workloads from the public cloud back to on-premise private clouds. The phenomenon known as “cloud repatriation” is particularly noticeable when it comes to advanced workloads such as artificial intelligence (AI) and machine learning (ML). In these cases, […]

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Unleashing the Power of AI: Harnessing Intel’s OneAPI and OpenVINO for Next-Gen Applications

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In the ever-changing world of artificial intelligence, staying ahead of the curve requires fresh ideas and the proper resources to make them a reality. In this space, Intel’s OneAPI and OpenVINO toolkit stand out as revolutionary, providing numerous benefits for AI workloads. Whether you’re an experienced developer or just starting out with AI, mastering these […]

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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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Using and Optimizing Containers for AI, ML, and DL Workloads in Virtualisation

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The combination of containers with AI, ML, and DL has been nothing short of revolutionary in the dynamic landscape of modern software development. These cutting-edge computational technologies promise more effective, versatile, and rapid outcomes when combined with the portability, isolation, and scalability provided by containers. However, there are unique difficulties associated with virtualising AI/ML/DL workloads. […]

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