IBM and NeuReality, an Israeli AI systems and semiconductor company, have signed an agreement to develop the next generation of high-performance AI inference platforms that will deliver disruptive cost and power consumption improvements for deep learning use cases. IBM and NeuReality will enable critical sectors such as finance, insurance, healthcare, manufacturing, and smart cities to deploy computer vision, Natural Language Processing, recommendation systems, and other AI use cases, which rely on the processing of vast amounts of data to make correct predictions in numerous different fields. Founded in 2019, NeuReality creates purpose-built AI-platforms for ultra-scalability of real-life AI applications, and this agreement involves NR1, NeuReality's first Server-on-a-Chip ASIC implementation of their AI-centric architecture. NeuReality has invented AI-centric architecture, which is specifically designed for the needs of artificial intelligence. Earlier in the year, the company implemented a prototype chip that created a kind of server that runs on the chip – known as NR1-P.

The mighty SoC is coming for the datacenter with inference as a prime target, especially given cost and power limitations. With multiple form factors stretching from edge to server, any company that provide a seamless jump from devices in the field to large-scale datacenter processing is ready for the future. This is the new reality Israeli startup, NeuReality, is preparing for, as are others in the AI ASIC and systems space who want to seamlessly let users jump from the edge to close compute with multiple form factors and efficiency-tuned software stacks. What is often missing from those conversations are some of the most important system elements, networking capabilities in particular. From (very) early glance, NeuReality seem to have their networking and SoC priorities straight--and serious networking and chip design pedigree to bring it together with the announcement of their first prototype inference system for the datacenter.