Nvidia introduced the next generation of AI, part of which was developed in Israel

At the heart of the announcements was the Vera Rubin platform, which entered commercial production and is defined as the next generation of AI infrastructure. The platform includes seven new chips, designed to work together as a single system, and to support all stages of the work of artificial intelligence models, from training to real-time activation of autonomous agents.

The system is built around the concept of “AI factories” – massive scale data centers where hundreds of thousands of accelerators work together. Meanwhile, new server systems in cabinet configuration were also presented, including a combination of hundreds of processors and dedicated processing units, which aim to improve performance and reduce energy consumption.

One of the key innovations is the Groq 3 LPU chip, which is designed to speed up the inference phase, that is, running existing models in real time. According to the company, its integration into systems enables an improvement of tens of percent and even more in productivity, which strengthens the ability to operate AI agents on a large scale.

At the same time, Nvidia is also expanding its activities to the software layer. The company introduced NemoClaw, a system that allows building artificial intelligence agents while maintaining security and privacy, alongside a series of new open models. In addition, an international coalition for the development of open source models was announced, as part of an effort to expand the ecosystem around its technologies.

The company also introduced Dynamo 1.0, a large-scale heating load management system designed to serve as an infrastructure layer for AI centers, similar to an operating system that manages resources and optimizes performance. On the hardware and infrastructure side, there is an emphasis on combining processing, communication and storage. Advanced communication components and new storage systems are designed to deal with the bottlenecks that arise when models grow in scale and produce huge volumes of data. A significant part of these developments was carried out in Nvidia’s research centers in Israel.

One of the more prominent announcements dealt with the expansion of AI activity outside of Earth as well. Nvidia has introduced adaptations of its platforms for operating in space, including data centers in orbit around the Earth, which aim to enable processing of information directly where it is collected.

In addition, collaborations with telecommunications and automobile companies were announced, along with the expansion of activity in the fields of robotics and physical artificial intelligence. The company aims to implement AI capabilities not only in the cloud, but also in cellular networks, vehicles and autonomous systems.