Artificial Intelligence is powering a wave of technological advancements and automation across every industry. Today, AI practitioners & researchers increasingly use deep neural networks for a multitude of applications across different industries, modalities and areas such as NLP, Vision, Speech, Conversational and Multimodal AI. However, the majority of recent AI advances powered by deep learning has been limited to the Cloud and highly specialized hardware. Recently the AI community has witnessed an increasing trend for training larger and larger neural models (e.g., GPT-3, BERT, DALL-E) that achieve state-of-the-art results but require enormous computation, memory and energy resources on the Cloud. In order to enable AI experiences in real-time across all users and devices, ML models have to run efficiently on the Edge and personal devices from mobile phones to wearables, smart vehicles, and IoT, all of which have limited computing capabilities.

Learn how new technologies are transforming the Edge & Cloud and enabling breakthrough AI solutions to analyze, classify, reason, answer, embed, or generate content for applications in any vertical. Discover how it’s possible to power a new computing paradigm with supercharged AI capabilities at unprecedented speeds (AI training in minutes, prediction in microseconds), low cost & carbon footprint, running privately on any hardware.