Posted on October 30th, 2025
Offering Will Leverage New NVIDIA-Nokia 6G Partnership Designed to Revolutionize Telecoms
WASHINGTON D.C. – October 30, 2025 – Following on this week’s landmark partnership announcement between NVIDIA and Nokia to pioneer AI-native 6G networks, Physical AI infrastructure software developer Terbine today unveiled the roadmap for its network-based platform called STRATA. The platform is intended to become the distributed intelligent orchestration layer through which robots, drones, autonomous vehicles and other connected AI-enabled machines will interact with each other, humans and the environments that they’re operating within, on a massive scale.
From Individual Machines To Robot Teams
Autonomous technology has thus far focused primarily on individual machines. However, as the number of robots, drones, and self-driving vehicles rapidly increases into the many millions, an overarching orchestration capability will become necessary—much like how air traffic control coordinates the skies. “We’re focused on creating a highly distributed, intelligent, and secure orchestration layer for the new era of autonomous systems,” said Terbine Founder & CEO David Knight. “By integrating into the AI-native 6G network architecture being developed by NVIDIA and Nokia, we’ll provide the trusted Physical AI platform coordinating billions of daily machine interactions around the world.”
Achieving Edge AI Hyperscaling
Terbine’s STRATA platform roadmap combines the principles of hyperscale computing and wide area telecommunications to deploy AI computing resources directly throughout wireless networks. It won’t replace large data centers but can extend their power and management to a distributed network of compact nodes situated at or near cell towers. Applying the same architectural efficiencies as the cloud, these dispersed edge sites will allow for modular scalability across geographies. Edge Hyperscaling represents the “distributed AI factories” needed to power the Physical AI world.
Solving The Physical AI Training Data Problem
To scale, Physical AI requires tremendous amounts of sensor data. Terbine’s STRATA platform is already gathering large amounts of data generated by the physical world. To make this acceptable to public and private data originators, STRATA incorporates a powerful AI-enabled policy engine that controls for proprietary data rights, determines source trust and viability, and anonymizes sources where requested. For data discovery, STRATA provides a rich metadata layer based on the assumption that the “user” is an AI.
Moving Past The ChatBot Phase of AI Development Into The Physical World
STRATA is purpose-built for Physical AI, capable of ingesting and processing complex, real-world data—including time-series streams, audio, video, sensor and RF sources. By utilizing Terbine-developed contextual metadata, STRATA enables the production of specialized Large Language Models (LLMs) for physical systems.
Major Organizations Want The Ability To “See” What’s Happening
STRATA features a unique “Mission Control” system, providing a digital twin for large organizations to interact with and manage infrastructure, intelligent connected machines and other fixed or moving resources. Terbine is already delivering on initial use cases in electric and autonomous vehicle (EV/AV) infrastructure. The platform can be leveraged by commercial / industrial / military fleets, rideshare / rental / autonomous service operators, last-mile delivery services (land/air/marine), supply chain & logistics companies / military branches, state and local governments, utilities & renewable energy providers in most geographies.
Advising Organizations On Their Physical AI Strategies
In addition to building applications on the STRATA platform, enterprise customers can leverage Terbine’s deep expertise in the rapidly evolving Physical AI sector through consulting. The company already provides Physical AI strategy and implementation services to clients including mobility providers and the US military.