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Accelerating your AI deep learning model training with multiple GPU

Accelerating your AI deep learning model training with multiple GPU

Deep Learning has shown remarkable results in many fields.Instant parameter adjustment is substantial for a successful deep learning model. To accelerate training process of deep learning, many studies are designed to use distributed deep learning systems with multiple GPUs.

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White Paper: Platform Root of Trust Application on Intel Server

White Paper: Platform Root of Trust Application on Intel Server

The white paper focuses on Wiwynn's implementation of Intel's Platform Firmware Resilience (PFR) in server systems, based on the NIST SP 800-193...

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White Paper: Study of Jet Impinging and Integrated Cold Plate for Unleashing Chipset Power

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White Paper: Study of Jet Impinging and Integrated Cold Plate for Unleashing Chipset Power

As thermal design power (TDP) for modern processors such as CPUs, GPUs, and TPUs exceeds 1 kW, traditional air cooling methods are proving...

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White Paper: A Holistic Approach to Managing Liquid-Cooled AI Clusters

White Paper: A Holistic Approach to Managing Liquid-Cooled AI Clusters

The integration of advanced liquid cooling systems in AI clusters is essential for maintaining thermal stability and optimizing performance. Key...

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