The Decline of TensorFlow and the Rise of PyTorch in AI Workloads: A Documented Shift

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TensorFlow, formerly the preeminent deep learning framework created by Google, has been eclipsed in recent years by PyTorch, developed by Facebook AI Research. Previously the unequivocal choice for researchers and corporations, TensorFlow has experienced a slow decrease as PyTorch has emerged as the favoured framework for AI workloads. This transition is seen not only in […]

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Understanding Data Types in AI and HPC: Int8, FP8, FP16, BF16, BF32, FP32, TF32, FP64, and Hardware Accelerators

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In the domains of Artificial Intelligence (AI) and High-Performance Computing (HPC), the proficient management of data types such as Int8, FP8, FP16, BF16, BF32, FP32, TF32, and FP64 is essential for performance optimisation. The advancement of contemporary hardware accelerators like as NVIDIA H100, Intel Gaudi3, and AMD MI300 has markedly enhanced the processing of these […]

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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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The Challenges of Decentralized IT Platforms in the NHS and the Role of AI in Transforming Healthcare

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The National Health Service (NHS) has been a fundamental pillar of healthcare in the UK, offering cost-free medical services to millions of residents based on their immediate requirements. Nevertheless, the NHS encounters a multitude of obstacles, a significant number of which are worsened by its dependence on a decentralised information technology (IT) framework. The absence […]

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