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Discover how precision time synchronization can boost AI workload efficiency, reduce system idle time, and enhance datacenter performance through IEEE1588 and PCIe PTM technologies.
Explore the relationship between signal integrity measurements and their impact on production testing, focusing on potential correlations between skew and common mode conversion.
Explore wireless clock synchronization through IoT Software Defined Radio, focusing on OCP-TAP Time Cards implementation and LoRa-based Wi-Wi protocol for precise timing distribution.
Discover how to automate network migration from proprietary to open-standards hardware, reducing downtime by 70% and costs by 60% while maintaining operational continuity and avoiding vendor lock-in.
Discover innovative approaches to designing energy-efficient servers and data centers optimized for ML-focused GPUs, with insights into thermal management and power consumption optimization.
Discover practical insights into managing large-scale AI clusters, focusing on orchestration solutions, deployment automation, and performance optimization for thousands of switches and network links.
Explore how AI's growing computational demands reshape datacenter architecture, power requirements, and cooling solutions, with insights from NVIDIA and Google experts on future scaling challenges.
Discover Intel's FalconRT technology for high-performance RDMA transport, enabling efficient data center networking with hardware-assisted optimization and backward compatibility for existing infrastructure.
Explore time synchronization validation methods for 5G/6G RAN transport, focusing on xHaul architecture implementation, clock quality metrics, and practical insights from Cisco-Keysight experiments.
Explore how alternative cooling technologies in datacenters can reduce environmental impact through life cycle assessment modeling and comparative analysis of various cooling methods.
Discover practical approaches to reduce data center carbon footprints through hydrogen power and transparent carbon reporting, as industry leaders share experiences and strategies for sustainable AI infrastructure.
Explore innovative approaches to data center management using digital twins and distributed intelligence for sustainable operations and enhanced energy efficiency in edge computing environments.
Explore a new data center efficiency metric (CPM) that combines GPU performance and power usage, designed specifically for evaluating AI workload infrastructure optimization.
Explore OPEA's framework for sustainable GenAI computing, focusing on carbon-optimized solutions and ecosystem collaboration to address energy efficiency in large-scale AI deployments.
Discover key breakthroughs in HDD technologies, including CMR, SMR, and HAMR media recording, while learning to optimize storage solutions for data centers and cloud computing environments.
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