Reduce AI Response Times with Infinidat’s AI RAG Workflow Architecture - See How on Mar 25

Reduce AI Response Times with Infinidat’s AI RAG Workflow Architecture - See How on Mar 25

GenAI is a powerful tool for enterprises that comes with significant risks - unreliable conclusions, poor decisions, inadequate performance, IP exposure, and cyber threats. Inaccurate results, or hallucinations as they are known, are holding back the adoption and broad deployment of these powerful tools. Companies can reduce these risks by continuously refining their Retrieval-Augmented Generation (RAG) pipelines with up-to-date company data to improve AI model-driven insights. However, the right enterprise storage solution is critical to ensure performance, availability, AI accuracy, and cyber resilience.

Join Backup, Recovery & Storage Solutions Review on Mar 25 at 9am USPT, noon USET, 5pm UK, and 6pm CET to see how Infinidat's AI RAG reference architecture solves these issues:

  • Discover how Infinidat overcomes the high latencies that are often a problem with RAG deployments, and radically reduces LLM and SLM response times.
  • Learn how Infinidat’s enterprise-class storage makes specialized storage systems unnecessary for AI RAG deployments.
  • See a live demonstration of Infinidat’s RAG workflow architecture in action.Register now and start to unlock the business value of GenAI applications for enterprises.

https://bit.ly/43M0JfH


要查看或添加评论,请登录

Eric Herzog的更多文章