Abstract: Apparatuses, systems, and techniques to dynamically assign neural networks to different hardware. In at least one embodiment, one or more portions of one or more neural networks are to be dynamically assigned to different hardware during inferencing based, at least in part, on changes in inferencing workloads of the one or more portions or capabilities of the different hardware.

Abstract: Apparatuses, systems, and techniques to optimize an agentic artificial intelligence (AI) system, based at least in part on one or more user-configurable parameters. In at least one embodiment, at least one user-configurable parameter is used by one or more compilers to cause generation of at least one optimized graph representation of at least a portion of an agentic AI systems based, at least in part, on at least one performance metric associated with the one or more portions of the one or more agentic AI systems.

Abstract: Apparatuses, systems, and techniques to compare image generation quality of two or more image models. In at least one embodiment, a similarity metric that compares two or more images generated by the two or more image models from the same text description may be computed.