Programmable AI inference chips and software for edge, data center and cloud
Blaize builds programmable AI inference hardware and software, with a stack that spans silicon verification (SystemVerilog, UVM, AXI, JTAG, LPDDR) up through ML frameworks (PyTorch, TensorFlow, ONNX, OpenVINO) and robotics simulation (ROS 2, Gazebo). Its CI is moving from Jenkins to GitLab, and director-heavy hiring tied to PoC execution and reference architectures points to a push toward turning customer pilots into deployments.
Blaize is a publicly traded AI platform company headquartered in El Dorado Hills, California, with 201–500 employees. It develops a programmable architecture and software platform for running AI inference at the edge, in data centers and in cloud environments. Its customers include governments, enterprises and service providers deploying AI where data is generated. Engineering spans chip design and verification, embedded Linux, and ML model tooling, and the company hires in the United States and India.
Blaize uses Python, C++, PyTorch, TensorFlow, ONNX and OpenVINO for AI, SystemVerilog and UVM for chip verification, GitLab and Ansible for DevOps, plus AWS, GCP, Red Hat Enterprise Linux and Rocky Linux.
Blaize is headquartered in El Dorado Hills, California, United States, and also hires in India.
Current work includes customer PoC execution, reference architecture development, cloud and hybrid integration, AI infrastructure solution design, a video analytics library and a migration from Jenkins to GitLab CI.
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Blaize's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.