Intel has released OPEA v1.4, a framework designed to streamline the deployment and management of AI applications. A key update in this version is the improved Kubernetes autoscaling functionality, which allows for more efficient allocation of compute resources. According to Intel, the new autoscaling features help reduce idle resource usage, thereby lowering operational costs for organizations running AI workloads on Kubernetes clusters. The update also includes enhancements to the observability and monitoring tools, making it easier for developers to track performance metrics and optimize their applications. These changes are part of Intel’s broader strategy to support the growing demand for scalable and efficient AI infrastructure. The release of OPEA v1.4 follows the previous version, which was launched in June 2023, and comes as part of Intel’s ongoing efforts to improve the developer experience in AI development. *Source: [intel](https://medium.com/intel-tech/kubernetes-autoscaling-in-opea-v1-4-23d1c0681fec?source=rss----bcaa5b033cbb---4)*