Abstract: In general, this disclosure describes techniques for configuring and provisioning, with a distributed artificial intelligence (AI) fabric controller, network resources in an AI fabric for use by AI applications. In one example, the AI fabric controller is configured to discover available resources communicatively coupled to a cloud exchange; obtain a set of candidate solutions, each candidate solution of the set of candidate solutions comprising an AI application and a configuration of resources for use by the AI application; filter, based on one or more execution metrics corresponding to each of the candidate solutions, the set of candidate solutions to generate a filtered set of candidate solutions; generate provisioning scripts for the filtered set of candidate solutions; execute the provisioning scripts to provision resources for each candidate solution in the filtered set of candidate solutions; and create an execution environment for each candidate solution in the filtered set of candidate solutions.

Abstract: Embodiments of the invention provides an advertisement queue (ADQ) allowing users (i.e., potential advertisement viewers) to temporarily store a limited number of electronic advertisements for later viewing as an alternative to completely dismissing all advertisements as irrelevant. For example, the electronic advertisements include, but not limited to, online advertisements and television advertisements. In one or more embodiments, a user's ADQ is allocated to store a maximum number of advertisements, referred to as queued advertisements. When the ADQ is full or reaches a pre-determined percentage of maximum entry count, the user is offered to view a queued advertisement in the ADQ, to select a category of advertisement for future queuing, and/or to clear the ADQ.