Blaize and NeoTensr Enter into Contract for Up to $50M to Deploy Co-Branded AI Edge Data Center Infrastructure Across Asia Pacific Published Thursday, April 16, 2026 | 1:10 p.m. Updated Thursday, April 16, 2026 | 1:10 p.m. EL DORADO HILLS, Calif.--(BUSINESS WIRE)--Apr 16, 2026-- Blaize Holdings, Inc. (Nasdaq: BZAI, Nasdaq: BZAIW) (“Blaize,” the “Company,” “we,” “our,” or “us”), a leader in programmable, energy-efficient AI computing, and NeoTensr , a hardware and software system integrator, today announced an up to $50.0 million contract to jointly develop and deploy co-branded AI edge data center infrastructure targeting the rapidly growing compute market across the broader Asia Pacific region. This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20260416115083/en/ The agreement marks a significant escalation of the two companies’ partnership, which generated over $20.0 million in revenue for Blaize in Q4 2025, bringing the total potential contracted value between Blaize and NeoTensr up to $70 million. The Power of Hybrid: Edge Inference Meets LLM and VLM Intelligence The Blaize solution is built around a co-branded AI server based on Blaize’s quad card configuration. Each server is capable of handling 200+ simultaneous camera streams with advanced AI analytics, purpose-built for smart city surveillance, industrial automation, logistics, retail intelligence, and security applications common in large-scale urban edge deployments. What distinguishes this deployment from conventional edge AI is the breadth of the Blaize Hybrid AI architecture. Leveraging the combination of Blaize’s Graph Streaming Processor (GSP) and GPU infrastructure, NeoTensr’s edge data centers will be capable of running not only real-time computer vision workloads, but also advanced data analysis powered by state-of-the-art Large Language Models (LLMs) and Vision Language Models (VLMs) — all within the same edge infrastructure. This hybrid approach enables NeoTensr to offer customers a single, unified AI platform that spans real-time perception at the