"The improvements inside X11M that support handling vector indexes faster at scale will help enterprises take on more demanding and complex generative AI use cases, such as advanced RAG and inferencing workloads that involve multi-step semantic search, adversarial guardrails, and agentic processes with less hardware than before," said Bradley Shimmin, chief analyst at Omdia.
"This release really focuses on workload consolidation and optimization, something that will resonate well with companies looking to lower operational costs while adopting generative AI," he said.
Exadata X11M includes software and hardware optimizations to deliver faster vector search for AI, faster input output operations per second (IOPS) resulting in lower latencies for transaction processing, and faster data scans than X10M, said Oracle Vice-President of Product Ashish Ray.
The company said that X11M offers up to 55% faster persistent vector index searches and 43% faster in-memory index queries.
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