Blaize

About

Blaize is an advanced edge AI computing company developing programmable graph streaming processor architecture for intelligent edge applications across automotive, smart vision, and enterprise markets. Founded in 2010 and based in El Dorado Hills, California, Blaize has pioneered a unique graph native processing architecture that efficiently executes AI workloads by representing neural networks as computational graphs and streaming data through optimized processing pathways. This innovative approach delivers superior performance, power efficiency, and flexibility compared to traditional AI accelerator designs. The company's Pathfinder P-Series processors are designed for embedded edge AI applications requiring real-time processing with minimal power consumption, supporting advanced computer vision, sensor fusion, and decision-making capabilities. The Xplorer X-Series targets higher-performance edge server and intelligent gateway applications, enabling AI inference at scale for multiple concurrent workloads. Blaize's El Cano software development kit provides comprehensive tools for developing, optimizing, and deploying AI models across their processor family, supporting popular frameworks including TensorFlow, PyTorch, ONNX, and Caffe. The architecture's graph streaming design enables efficient execution of diverse neural network topologies including convolutional networks, recurrent networks, transformers, and hybrid models. Key applications include autonomous vehicles requiring multi-sensor processing, smart retail analytics, industrial robotics and inspection systems, intelligent surveillance and security, and medical imaging devices. With over $200 million in funding and strategic partnerships with tier-one automotive manufacturers and industrial leaders, Blaize is enabling the next generation of edge AI deployments where latency, privacy, bandwidth, and energy efficiency are paramount concerns for production systems.