Artificial Intelligence AI Infrastructure Market Sees Growth as CSIRO Launches Vetra Edge AI Platform

Vetra is a new-generation AI infrastructure platform announced by the national science agency CSIRO in its Queensland Centre for Advanced Technologies. Vetra aims to shift high-performance AI computation to the source of the data, enabling real-time processing of data for robotics, sensors, and AI systems.

The platform offers faster, more secure, and more sovereign edge AI that empowers machines to learn and react as safely as possible in complex environments, in contrast to traditional cloud-based infrastructure.

Advancing Edge AI for Robotics and Physical Intelligence

Vetras "edge-core-cloud" strategy enables it to be linked to CSIRO research robotic systems and larger supercomputing systems, allowing it to process data locally as soon as it arrives, before transferring data for more advanced analysis. The platform will continue to facilitate innovations in AI technologies in different sectors, including smart manufacturing, energy, infrastructure and environment monitoring.

Vetra will enable real-time physical AI research, where systems can respond, learn and operate safely with high-performance computing placed near the data, and not as is possible with data-only cloud-based approaches, said Dr. Liming Zhu, Director of CSIRO Data61.

According to Precedence Research, the Artificial Intelligence (AI) Infrastructure Market size was calculated at USD 72.02 billion in 2025 and is predicted to increase from USD 88.62 billion in 2026 to approximately USD 573.15 billion by 2035, expanding at a CAGR of 23.05% from 2026 to 2035 due to the demand for quicker fraud identification and investing smarter with AI.

Industry Impact and Outlook

The release of Vetra reflects the changing trend towards edge AI infrastructure, which enables real-time, low-latency computing for physical AI applications. As autonomous robots, intelligent sensors, and mission-critical AI systems get deployed in industry more and more, localized computing infrastructure can no longer be considered a secondary asset to boost the performance, security, and reliability of operations.

The investment highlights CSIRO commitment to sustainable, modular AI infrastructure that can drive innovation and help to overcome the environmental challenges of high-performance computing. This deployment mirrors the overall industry trend towards integrating edge, core, and cloud capabilities to facilitate next-generation workloads with AI.