Blaize to Power 250K AI Surveillance Devices in Southeast Asia
Blaize Holdings, Inc., a leader in edge AI computing, has announced a major contract for the deployment of its edge AI platform across more than 250,000 intelligent surveillance endpoints in Southeast Asia. Set to begin in Q2 2025 and continue through 2026, this deployment will support the transformation of real-time smart infrastructure in the region, with a scalable and hybrid AI solution.
Contract Value and Expected Revenue
The total value of the contracted purchase order is approximately $56 million, with $6 million in initial revenue expected to be recognized during the second and third quarters of fiscal 2025. This marks a significant achievement for Blaize as it continues to expand its footprint in real-world AI applications.
This deployment is a key step in integrating edge-native intelligence into urban infrastructure across Southeast Asia.
The solution will be used for traffic monitoring, public safety applications, and more, with the hybrid AI architecture enabling seamless coordination between edge inference and centralized analytics. Blaize’s Graph Streaming Processor (GSP) and multimodal inference architecture were pivotal in the selection of its technology for this large-scale initiative, providing the necessary efficiency and scalability for mission-critical workloads.
Dinakar Munagala, Co-founder and CEO of Blaize, said, “This is proof that real-world AI transformation is happening now.“It reflects the strength of our technology and validates our approach to purpose-built, hybrid AI at the physical edge—bringing together edge inference and centralized intelligence to deliver meaningful outcomes.”
He added, “Blaize is proud to support the infrastructure powering this next wave of intelligent systems across rapidly growing smart city ecosystems.”
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Supporting Urban Transformation
The deployment will be pivotal for smart infrastructure applications such as traffic management, incident response, license plate recognition (LPR), speed and behavioral analytics, and multimodal sensor fusion at the edge. These capabilities are set to greatly improve public safety and traffic efficiency in fast-growing urban environments.
