iTronics Group and Atturra Develop Cloud-Based AI Video Processing with Industry-First GPU-as-a-Service Solution

As AI technology rapidly advanced within the security and surveillance sector, iTronics Group’s traditional CPU-based infrastructure couldn’t process the high-resolution video images their solutions were producing. The result was false alarms, incorrect readings, and unacceptable processing delays that threatened their competitive position.

iTronics required GPU processing power that could effectively handle AI workloads; however, their existing hosting provider was unable to support this capability. The company needed a partner who could deliver GPU-as-a-Service infrastructure, but was uncertain whether this level of capability would be accessible or affordable.

Beyond raw processing power, iTronics recognised a market opportunity that competitors hadn’t addressed. While most security providers handled video data on-site at client locations, this approach created security vulnerabilities—if a site was compromised, so was the processing infrastructure.

iTronics wanted to create a centralised cloud-based processing model that would eliminate this risk. Whilst also enabling multiple clients to access their surveillance data from a secure, central location without compromising speed or performance.

No one in the security industry had successfully delivered cloud-based video processing at scale. The solution required multiple components working together: high-quality cameras, reliable network infrastructure to stream data to the data centre, and the GPU processing power to analyse footage in real-time using AI algorithms.

As an existing provider of data and telecommunications hosting services to iTronics, they approached Atturra with an ambitious question. Could we develop GPU-as-a-Service infrastructure to support this concept?

Atturra’s technical team recognised the innovation potential and committed to exploring the possibility. This willingness to embrace a new challenge set the foundation for a collaborative partnership focused on solving complex problems together.

The teams conducted a detailed proof of concept, working closely throughout the process to validate performance, refine the architecture, and ensure the solution would deliver the outcomes iTronics required. The environment was set up, extensive testing was conducted, and performance was carefully evaluated against real-world requirements.

From the first trial, the results looked promising—the GPU infrastructure delivered the processing power needed to analyse high-resolution video footage using AI algorithms, while the centralised cloud architecture worked as planned.

Following the successful proof of concept, Atturra and iTronics designed a commercial model that balanced flexibility, scalability, and cost efficiency for both parties. The infrastructure was deployed, and iTronics began onboarding clients to the new platform with hands-on support from the Atturra team.

As iTronics’ customer base grew, so did its infrastructure requirements. The solution could only process a limited number of video streams simultaneously, meaning Atturra had to scale capacity in parallel with iTronics’ growth. This led to continued close coordination, with both teams seeking to understand what iTronics’ customers were demanding, so the technology could keep pace.