Next-generation Enterprise AI Solutions with IBM watsonx.ai and IBM Storage ScaleThis IBM Redpaper describes the IBM® solution for using IBM Storage Scale as enterprise storage with IBM watsonx.ai®. The paper explains how IBM watsonx.ai applications can use the enterprise-storage features and functions that are provided by IBM Storage Scale. This Redpaper is intended for technical professionals, including customers, consultants, technical support staff, IT architects, and IT specialists who are responsible for delivering artificial intelligence (AI) solutions. This Redpaper is relevant for the following audiences:
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access key Ansible artificial intelligence caching catalog CNSA cluster collection_name=collection_name compute cluster Create a S3 DataStage deployment Docling documents embeddings endpoint FieldSchema file set following command foundation models GB RAM GBps Global Data Platform graphics processing unit IBM Redbooks IBM Storage Scale IBM watsonx IBM watsonx.ai IBM watsonx.data includes infrastructure installation IP addresses JSON Linux Foundation load balancer Markdown Milvus mount path node48s.bda.scale.ibm.com NVIDIA NVMe Open RAG Benchmark parameters POSIX protocol nodes provides RAM per node Red Hat OpenShift remote S3 bucket requirements Running 0 109d running the following S3 account S3 bucket S3 protocol S3 service Scale client cluster Scale file system Scale System 6000 schema shown in Example shown in Figure Solution architecture spectrumscale storage cluster Storage Scale client Storage Scale file Storage Scale S3 Storage Scale System storage solution throughput tiering trademarks users vCPUs per node vector database workflow workloads