The future of AI processing

As AI technology advances, inference—a model’s ability to make predictions based on its training—can now be run closer to users and not just in the cloud. This has advanced the deployment of AI to a range of different edge devices, including smartphones, cars, and industrial internet of things (IIoT). To commercialize the full panoply of AI use cases, processing and compute must be performed on the right hardware. It also allows organizations to prepare for the future of distributed AI in a way that is reliable, efficient, and secure. AI tools that may have been used were limited to secondary production processes that passed thorough human review.