# the names of the collaborative cloud deployment model

Red Hat OpenShift AI » Red Hat® OpenShift® AI is an open source artificial intelligence and machine learning (AI/ML) platform for the hybrid cloud. Redhat.com

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GitHub - run-house/runhouse: The fastest way to deploy AI apps and services on any infra. Unobtrusive, debuggable, PyTorch-like APIs. » The fastest way to deploy AI apps and services on any infra. Unobtrusive, debuggable, PyTorch-like APIs. - run-house/runhouse Github.com

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Red Hat OpenShift AI | Red Hat Developer » A cloud service that gives data scientists and developers a powerful AI/ML platform for building intelligent applications. Developers.redhat.com

An interactive and integrated framework for collaborative product development in cloud manufacturing using STEP standard-based ontology model » Due to the growing competition of firms in manufacturing industries, the enhancement of the design of new products for quick and collaborative interaction of stakeholders is inevitable. A customer-oriented approach during the enhancing of product design… Ncbi.nlm.nih.gov

Dynamic Scheduling of Contextually Categorised Internet of Things Services in Fog Computing Environment » Fog computing emerged as a concept that responds to the requirements of upcoming solutions requiring optimizations primarily in the context of the following QoS parameters: latency, throughput, reliability, security, and network traffic reduction. The… Ncbi.nlm.nih.gov

maven - Failed to deploy artifacts: Could not find artifact - Stack… » Apr 19, 2013…… name, or used the wrong repository name entirely. So using the OP's example: Failed to deploy artifacts: Could not find artifact com.http … Stackoverflow.com

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