Optimize RAG Inferencing with Improved Response Times

Generative AI (GenAI) and Large Language Models (LLMs) offer opportunities and challenges. These AI systems can perform various language tasks but may "hallucinate," providing inaccurate information. Mitigating this is crucial.

This paper explores how Retrieval-Augmented Generation (RAG) inferencing can help. RAG combines LLMs with retrieval components for more accurate responses but can face latency issues due to storage.

Infinidat's platforms, with Neural Cache technology, address RAG latency. By using machine learning to cache relevant data, Infinidat ensures sub-millisecond response times, enhancing LLM performance and productivity.

Read the full paper to learn how Infinidat optimizes GenAI.

Vendor:: Infinidat
Posted:: Nov 15, 2024
Published:: Nov 16, 2024
Format:: HTML
Type:: White Paper

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