KUALA LUMPUR: ITMAX System Bhd is expanding its artificial intelligence (AI)-powered traffic management capabilities, targeting support for more than 17,000 cameras by 2027 through the deployment of technology powered by US chipmaker Nvidia Corp.
In a blog post, Nvidia said ITMAX’s SamurAI V2 vision AI agents are being scaled on Nvidia RTX PRO 6000 graphics processing units (GPUs) to enhance traffic monitoring, urban management and operational efficiency.
Developed in-house by ITMAX, SamurAI V2 incorporates Nvidia’s Cosmos and Nemotron models, alongside the Nvidia Metropolis Video Search and Summarization (VSS) reference architecture, to analyse video feeds and generate actionable operational insights.
The platform is designed to help city operators interpret information captured by surveillance cameras, identify emerging situations and make more informed decisions in managing urban environments.
Beyond video intelligence, ITMAX is integrating TeraSim, an open-source traffic simulation platform developed by Laplace Intelligence, to help local authorities evaluate traffic conditions and optimise traffic signal timing.
The platform allows city planners to simulate different traffic scenarios and test alternative signal configurations before implementing adjustments on actual roads. This approach has demonstrated the potential to reduce peak-hour travel times along traffic corridors by up to 26 per cent.
ITMAX delivers the underlying infrastructure and AI applications through long-term managed services arrangements with local authorities, enabling cities to adopt advanced AI capabilities without having to independently build and maintain the entire technology infrastructure.
The development reflects a broader shift in how cities are deploying AI to address increasingly complex urban challenges, ranging from infrastructure planning and transportation management to public safety and essential public services.
According to Nvidia, municipalities are increasingly using AI to transform data collected from cameras, sensors and operational systems into actionable insights that can support infrastructure planning, maintenance and public service delivery.
The adoption of agentic AI, in particular, is creating opportunities for city authorities to automate routine processes, streamline resident services and deploy intelligent vision agents that can interpret real-world environments and support operational decision-making.
Property consultant SM Goh said AI could help local authorities improve service delivery and respond more effectively to changing urban needs, without necessarily requiring substantial upfront infrastructure investments.
“From streamlining resident services and automating routine administrative processes to deploying intelligent vision agents that analyse real-world environments, AI can help city authorities make better-informed decisions, improve service delivery and respond more effectively to emerging urban needs,” he said.
Goh noted that cities could begin developing and deploying AI-powered services using Nvidia RTX workstations or relatively compact GPU systems, depending on the complexity and scale of their applications.
“Cities do not necessarily need to make massive infrastructure investments from the outset. They can start with relatively modest computing resources and expand their infrastructure progressively as workloads increase and operational requirements evolve,” he said.
He added that shared computing infrastructure could also enable municipal departments and local technology developers to develop and expand AI applications without having to invest in dedicated computing resources independently.
Similar initiatives are emerging in Spain, Poland and the United States, where AI is being applied across public services, urban mobility, safety monitoring and emergency response.
Nvidia is showcasing these developments at the Smart City Expo World Congress in Barcelona, Spain, from Nov 3 to 5, highlighting how accelerated computing and agentic AI can support the development of more intelligent and responsive cities.
“These developments demonstrate how Nvidia’s accelerated computing and AI ecosystem can help cities move beyond conventional monitoring systems towards more intelligent, predictive and responsive urban operations,” Goh said.
He added that combining scalable GPU infrastructure, agentic AI and simulation-based planning would allow cities to address immediate operational challenges while building the foundations for more connected, efficient and AI-ready urban environments.