Blaize and NeoTensr expand APAC edge AI push with $50M infrastructure deal

The Blaize hybrid AI server (based on its quad card) can support 200+ simultaneous camera streams with sophisticated AI analytics leading to a wide range of applications such as smart cities, industrial automation, and retail intelligence.

“What makes this deployment technically significant is that we are not partitioning the workload between edge and cloud – we are collapsing that boundary entirely,” says Ke Yin, Co-founder and chief scientist, Blaize. “The Blaize GSP handles continuous yet dynamic, low-latency computer vision at the sensor layer, while our hybrid architecture simultaneously runs LLM and VLM inference on the same physical infrastructure. Processing 200+ camera streams per server with that level of analytical depth is not achievable on conventional hardware. NeoTensr recognized that, and it’s why this platform will define the standard for intelligent edge data centers across the region.”

NeoTensr will leverage Blaize’s technology to create scalable, production-ready AI infrastructure for smart cities and enterprises throughout Asia Pacific.

It consists of co-branded AI hardware, software solutions and services into a full-stack platform for deployment and monetization.

Blaize combines its Graph Streaming Processor with GPU infrastructure in a hybrid AI architecture designed for efficient and real-time AI inference at the edge.

The strategic partnership positions Blaize and NeoTensr to tap into the growing demand for edge data centers in Asia that provide high-performance low-latency AI solutions.

Earlier this year Blaize signed an edge AI inference MOU targeting APAC networks with Nokia.

Article Topics

AI infrastructure  |  data centers  |  edge AI  |  edge infrastructure