Red Hat OpenShift delivers high-performance LLM inference for financial services
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The financial services industry, like many other sectors, is aiming to make best use of their hardware in the age of resource-intensive AI workloads. Financial services companies have come to rely on the advantages of a container-based architecture, but may worry that container orchestration platforms add performance penalties that could exacerbate resource constraints. The results of a new STAC-AI™ LANG6 (Inference-Only) audit, the industry-standard benchmark for evaluating large language model (LLM) inference performance in financial services, may help assuage those worries when it comes t
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