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White Paper: KV Cache Offload to Improve AI Inferencing Cost and Performance
This paper explores a disaggregated key-value (KV) storage architecture designed to efficiently offload KV cache tensors for generative AI workloads.
Wiwynn announced the availability of the whitepaper on 48V server platform based on Vicor’s 48V Direct-to-PoL (Point-of-Load) solution and Intel® Xeon® Scalable processors.
This paper will discuss the challenges of 12V power delivery systems in data centers, introduce the proposed 48V power delivery architecture, and detail the 48V implementation in Wiwynn’s new M1 server board.
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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...
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Deploying large-scale AI clusters introduces engineering challenges that extend well beyond the individual server rack. From liquid cooling...