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IEEE:2025企业生成式AI峰会报告-Day1(中译版)(46页).pdf

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1、August 20-21,2025San Jose,CAAugmenting GenAI Workloads on IBM Fusion HCIPurnanand Kumar/Dipali Chatterjee28 July 2025Augmenting GenAI Workloads with Content-Aware Storage on IBM Fusion HCI for Scalable,Trustworthy,and Accelerated Enterprise AIThe objective of the Content-Aware Storage(CAS)architectu

2、re is to facilitate smooth interactions between LLMs and extensive quantities of unstructured data,amplifying insight derivation and suggestion functionalities.IBM Fusion CAS uses IBM Storage Scale CNSA to remote mount a cluster where documents are parsed by NVIDIA NeMo services.Parsed content and m

3、etadata are embedded and indexed into a vector DB.Watch folders and optional AFM enable scalable,incremental ingestion.CAS provides semantic,keyword,and hybrid search APIs with optional reranking.These results can be integrated into enterprise RAG pipelines.Introducing IBM Content-Aware Storage(CAS)

4、:a software-defined storage data service that alleviates the knowledge base challenges for GenAI implementationsSimple:Automated RAG solutionEfficient:a)Cost/performanceb)Works with legacy dataEnables Gen AI capabilities on unstructured data in any on-prem locationOnly process incrementally changed

5、data;High performance shared storage for data processing;GPU optimized storage for optimized Document Processing and Search performance Preserve data ACL;Data encryption for embedding Secure:IBM CAS combines the power of AI document processing with IBMs AI storage software,&research innovationsto jo

6、intly bring to market a state-of-the-art storage-based Knowledge solution that isStorageGPFSNFSObject(S3)CAS Search APIFiles and DocumentsGen AI ApplicationsCHATRetreiveresponseQuery(prompt)Top k resultsGen AI AppsAgentQuery(prompt)Top k resultsresponseData&MetadataKnowledge BaseFile ProcessingData

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1. **IBM Fusion HCI内容感知存储(CAS)**:通过IBM Storage Scale CNSA远程挂载集群,结合NVIDIA NeMo解析文档,嵌入并索引至向量数据库,支持语义/关键词搜索及企业RAG管道集成,实现高效、安全、可扩展的企业AI知识库。 2. **AI在线实验必要性**:传统离线测试不足,需通过A/B测试评估模型效果(如提示词优化、成本与性能权衡),案例显示在线实验可提升用户留存率与任务成功率,强调快速迭代与安全风险管控。 3. **生成式AI安全挑战**:2024年NCMEC每分钟收到超100份CSAM报告,AI生成CSAM增长1325%,需通过IEEE P3462标准(开发/部署/维护全生命周期安全设计)及水印、日志追踪等技术防范滥用。
**AI存储新方案?** **AI测试如何迭代?** **AI安全如何设计?**
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