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White Paper: GPU-Initiated, Liquid-Cooled, Ultra-High-Density Storage for Next-Gen AI
This paper introduces a paradigm shift in storage architecture designed to overcome the CPU-centric data path bottlenecks in modern AI workloads. By...
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Updated on May 28, 2024
The O-RAN Alliance's new network architecture revolutionizes 5G and B5G by disaggregating RAN functions and automating performance control, addressing the complexities of diverse 5G requirements. To tackle these challenges, it introduces intelligent RAN controllers (RICs) that use AI/ML for dynamic management of RAN configurations and resource allocation, aiming for optimal service quality and operational efficiency.
Wiwynn contributes with its AI server range, tailored for 5G RAN virtualization and enhancing the RIC platform. These servers support the physical layer of RAN and expedite ML training and inference, facilitating multi-cell inference tasks and achieving rapid response times in accordance with O-RAN control standards. This integration of advanced AI/ML capabilities into RAN management signifies a significant leap forward in network efficiency and responsiveness, ensuring that future wireless networks can meet the escalating demands of modern telecommunications.
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This paper introduces a paradigm shift in storage architecture designed to overcome the CPU-centric data path bottlenecks in modern AI workloads. By...
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This paper explores a disaggregated key-value (KV) storage architecture designed to efficiently offload KV cache tensors for generative AI workloads.
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This paper explores an advanced framework designed to automate the extraction of important attributes from unstructured part datasheets. By...